multimedia



multimedia

multimedia

Multimedia refers to technology that uses multiple media (such as text, images, audio, video, and animation) simultaneously to convey information and content. It provides a rich way to present and communicate information and is widely used in fields such as education, entertainment and advertising.

Components of multimedia

Multimedia application areas

  1. educate:Such as e-learning courses and virtual classrooms.
  2. entertainment:Such as movies, TV, games and music applications.
  3. Marketing and Advertising:Such as multimedia advertising, interactive display and brand promotion.
  4. Medical:Such as medical imaging and telemedicine technology.
  5. Architecture and Engineering:Such as 3D modeling and simulation technology.
  6. Art: Combine music, dance and visual arts to create new art forms.

Development Trends of Multimedia Technology

With the advancement of artificial intelligence, virtual reality (VR), augmented reality (AR) and 5G technology, multimedia technology is developing in a more efficient, immersive and intelligent direction. In the future, multimedia technology will bring more innovative applications in all areas of life.

in conclusion

Multimedia not only improves the efficiency and interest of information transmission, but also creates a more immersive experience for users. In the future, with the further development of technology, multimedia will play a greater role in more fields.



MPEG

What is MPEG?

MPEG (Moving Picture Experts Group) is an expert group jointly established by the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC). It is responsible for formulating international standards for multimedia compression and coding.

MPEG's main standards

MPEG application areas

MPEG technology is widely used in the following fields:

The future development of MPEG

MPEG is developing more efficient compression technologies, such as VVC (Versatile Video Coding), to support ultra-high resolutions (such as 8K) and emerging applications (such as immersive media).



video editing

Video editing software

Professional grade software

Advanced and Intermediate Software

Free and open source software

Cloud and online editing tools



Free video editing software

In the multimedia development environment of 2026, free editing software has evolved to a stage with a high degree of AI automation and professional-grade color correction capabilities. Developers and creators can choose between professional workflows, community clippers, or open source software based on hardware performance and functional requirements.


Core function comparison table

Software name Developer/Model Core technical features Suitable for the scene
DaVinci Resolve Blackmagic Design GPU accelerated rendering, professional color correction (Nodes), Fairlight audio workstation. High-quality film and television, professional post-production.
CapCut (Cut) ByteDance AI automatic subtitles, cloud material library, one-click beauty and background removal. TikTok/IG short videos, self-media.
Shotcut Open Source (GPL) Based on FFmpeg, supports 4K/ProRes, cross-platform native support. High privacy requirements, mid-level technology development.
Clipchamp Microsoft Web-based technology, deep integration with Windows 11, and no installation required. Fast processing, simple presentations and home images.

Description of the characteristics of each software architecture

How to choose the right tool

  1. Performance Orientation:If you have a high-end discrete graphics card (such as RTX 40/50 series), the first choiceDaVinci ResolveTo obtain the most powerful rendering efficiency.
  2. Efficiency-oriented:If you need to quickly produce content with subtitles and popular music,CapCutIt is currently the most automated option.
  3. Learning Orientation:If you want to understand the coding, decoding (Codec) and packaging principles of digital video,ShotcutProvides more underlying parameters that can be adjusted, suitable for technical learning.
Note: Although most "free versions" are free of charge, they may limit the resolution (such as 1080p) or require online verification when exporting. It is recommended to give priority to open source software in an offline working environment.


Open source video editing software

Open source film tools cover the complete spectrum from basic cutting and non-linear editing to professional node-based special effects compositing. These tools are based on open source protocols, ensuring that developers have a high degree of freedom and cross-platform deployment capabilities when handling multimedia projects.


Core open source tools comparison table

Tool name Technical positioning Core advantages Applicable platforms
Kdenlive Professional grade NLE The most comprehensive feature, supporting multi-track editing and powerful special effects stacking. Linux, Win, Mac
Shotcut Universal NLE The interface is intuitive, natively supports multiple formats, and hardware acceleration is stable. Win, Mac, Linux
OpenShot Entry level NLE It is extremely easy to use and supports 3D animated titles and curve adjustment. Win, Mac, Linux
Olive High performance NLE New C++ engine, introducing node-based synthesis logic. Win, Mac, Linux
Natron Nodal synthesis Professional visual effects (VFX), 2D/2.5D compositing, spin rendering. Win, Mac, Linux
Avidemux Quick processing Extremely fast cutting and packaging, no need to re-encode, batch processing. Win, Mac, Linux

Tool features and developer perspective

Selection guide

  1. Complete video creation:chooseKdenliveorShotcutfor a balanced editing experience.
  2. Professional special effects synthesis:chooseNatronHandle green screens, tracking and complex layer overlays.
  3. Extremely fast file trimming:chooseAvidemux, especially if you don’t want to lose image quality and need to export quickly.
  4. Simple animation and getting started:chooseOpenShotGet the job done with minimal learning costs.
Note: It is recommended to use these tools with FFmpeg when developing automated multimedia processes. For example, use Avidemux for preprocessing, then import it into Kdenlive for artistic creation, and finally add visual effects through Natron.


Kdenlive

Kdenlive (KDE Non-Linear Video Editor) is a free software developed based on the KDE framework and MLT multimedia engine. Since its release in 2002, it has grown to become the most respected editing tool on the Linux platform, and has demonstrated excellent cross-platform capabilities on Windows and macOS platforms. It takes "no data tracking, no charges, and unlimited audio and video tracks" as its core concept and is deeply loved by the open source community and professional editors.


Technical architecture and engine

Kdenlive's high efficiency comes from its deep integration of multiple open source components at the bottom:

Core Function Highlights

Functional category Technical features
AI automation Integrate Whisper and VOSK engines to support accurate speech-to-text and automatic subtitle generation.
Proxy Clip (Proxy) Automatically create low-resolution copies of high-quality footage (such as 4K/8K) to ensure smooth editing, and automatically switch back to the original files when rendering.
keyframe animation The latest "parametric keyframe" system launched in 2026 allows independent animation control of a single attribute.
Highly customizable interface It supports multi-screen layout and has built-in dedicated workspaces for recording, editing, color correction, audio processing, etc.

Latest evolution in 2026

  1. AI object segmentation:The built-in AI smart selection function can automatically identify the background or specific objects in the video, enabling one-click removal or partial color correction.
  2. Nested Timelines:Allows one project to be placed as a clip within another project, suitable for handling extremely large feature film productions.
  3. Performance leap:Interface layout management is re-optimized through KDDockWidgets and the rendering speed on multi-core processors is significantly improved.

Summary of advantages and disadvantages

Tip: Kdenlive releases maintenance versions every quarter (such as the current 25.12.2). If you encounter software instability, you can usually check the hardware acceleration configuration in "Settings" or update to the latest stable version.


Kdenlive text to speech

Although Kdenlive's official strength lies in automatic AI subtitles (Whisper speech-to-text), to achieve automatic text-to-speech conversion, developers usually use "external generation, internal import" or use the Linux system to integrate scripts.


Option 1: Use the open source TTS model (2026 recommendation)

For developers who pursue high quality and privacy, it is recommended to use Python to call the open source model to generate audio files and then import them:

Option 2: System integration in Linux environment

If you are using Kdenlive in a Linux environment, you can use the system's built-in speech engine to combine it with Kdenlive's "Generator" function:

tool Implementation advantage
Festival / eSpeak Convert text to audio via the command line. Completely offline and blazingly fast.
TTS-Generator script Kdenlive plug-in script provided by the community. Text can be entered directly into the Kdenlive interface.

Option 3: Standard production process (universal type)

This is currently the most stable approach for most self-media creators:

  1. Text preprocessing:Enter text in an external AI TTS platform such as Edge TTS or OpenAI TTS.
  2. Export audio track:Download high quality audio files.
  3. Import and align:Drag the audio track into the Kdenlive timeline and use Kdenlive's "speech recognition" feature to automatically generate subtitle tracks.
  4. Clip optimization:Automatically adjust the screen switching according to the fluctuation of the audio.

Tips for developers: automated connection

Note: Kdenlive currently does not have a one-click image and text production function integrated like "cutting". TTS is usually regarded as an external material import, which requires special attention when planning the workflow.


Kdenlive text audio track alignment

Manual alignment and editing techniques

In Kdenlive, the most common alignment method is to manually match voice files (WAV/MP3) and title clips (Title Clip) on the timeline. To improve efficiency, it is recommended to turn on the "snap" function (shortcut key: Shift + S), so that when you move the text clip, it will automatically align with the edge of the audio track or the timeline mark.

Automatically generate subtitles using speech recognition

Kdenlive has a built-in Speech-to-Text function that can automatically generate subtitle tracks based on the audio track content. This is the fastest way to align long articles:

Auto-align instruction script

If you have existing text scripts and audio files and want to preprocess the alignment time points through external tools (such as generating SRT subtitle files), you can use the following Python logic to calculate the text display interval.
import re

def create_srt_from_text(text_segments, duration_per_char=0.2):
    """
    Roughly estimate time based on text length and generate simple SRT content
    text_segments: text list that has been segmented by CosyVoice
    duration_per_char: The number of seconds each character is expected to be displayed
    """
    srt_content = ""
    start_time = 0.0

    for i, segment in enumerate(text_segments):
        # Calculate the expected duration of this text
        duration = len(segment) * duration_per_char
        end_time = start_time + duration
        
        # Format time (HH:MM:SS,mmm)
        def format_time(seconds):
            h = int(seconds // 3600)
            m = int((seconds % 3600) // 60)
            s = int(seconds % 60)
            ms = int((seconds - int(seconds)) * 1000)
            return f"{h:02}:{m:02}:{s:02},{ms:03}"

        srt_content += f"{i+1}\n"
        srt_content += f"{format_time(start_time)} --> {format_time(end_time)}\n"
        srt_content += f"{segment}\n\n"
        
        start_time = end_time

    return srt_content

# Example usage
segments = ["This is a test text.", "The sound generated by CosyVoice 2 is very natural.", "[laughter] is really great!"]
print(create_srt_from_text(segments))

Kdenlive import and adjustment

After getting the subtitle file (SRT) or alignment logic:

Cutting

Basic and advanced editing

CapCut is a comprehensive video editing tool that supports draft interoperability between mobile phones, tablets and computers. Basic features include precise segmentation, variable speed (0.1x to 100x), reverse playback, and canvas scaling. Advanced functions provide keyframe animation, chroma key (green screen keying), video stabilization and multi-track editing, which can meet a variety of needs from simple recording to professional short films.

AI smart creation tool

The 2026 cut deeply integrates AI technology, significantly shortening the creative process. Its core functions include "one-click background removal (smart keying)", "AI color correction" and "smart tracking". The most popular "Script to Video" function allows users to input a script, and AI will automatically search for the corresponding material and generate a complete first draft of the video, which can be demonstrated with AI-generated pictures or avatars.

Rich material and special effects library

Millions of copyrighted music, sound effects, stickers and transition effects are built into the software. The special effects library includes the popular Glitch, 3D transformations and a variety of cinematic filters. Its "auto-stuck point" function can automatically arrange editing points according to the rhythm of the music, allowing novices to quickly create rhythmic videos.

Functional Features Comparison Table

Functional category core content Features
Screen processing Mask, transition, beauty, filter Supports one-click application and fine-tuning
Dynamic effects Keyframes, speed curves, dynamic tracking Achieve smooth camera movement and animation
AI-assisted Automatic subtitles, AI drawing, background removal Automate tedious steps and improve efficiency
Export and share 4K 60fps, HDR, direct to TikTok Supports high-quality output and fast community connection

Pro version and team collaboration

In addition to the free version, Cutout Pro provides larger cloud storage space, more advanced AI effects, and 8K resolution export. At the same time, the clipping supports team collaboration function. Multiple creators can comment on and modify the same cloud draft at the same time, which is very suitable for the audio and video workflow within the studio or enterprise.

Social trend integration

Cutting is deeply integrated with TikTok and can instantly update the most popular challenge templates. Users can directly apply popular templates and simply replace materials to produce content that conforms to community trends. It is currently the preferred tool for short video creators.



Cutting pictures and texts into films

"Image-to-text" is an AI automated creation tool built into the film editor, designed to quickly convert pure text manuscripts into complete videos including dubbing, subtitles, background music and corresponding images. This is very efficient for producing popular science videos, news bulletins or self-media content.


Three core technologies

Comparison of operating modes

model Applicable scenarios Feature focus
custom input Already have a full script, novel, or press release. 100% faithful to the original work, with AI dubbing and illustrations.
AI writes for me There are only theme ideas and no specific content. Generate popular scripts based on large language models and then complete the film.

Functional advantages and limitations

  1. Productivity improvements:The process of "finding materials + alignment + dubbing" that traditionally takes hours is shortened to just a few minutes.
  2. Material richness:It integrates a huge library of copyrighted materials, reducing the pressure on developers to shoot or find materials by themselves.
  3. limit:The maximum number of words for a single input copy is usually 3,000 words, and the AI ​​matching screen sometimes needs to be manually replaced to ensure accuracy.

Advanced editing suggestions

Note: It is still recommended that the content generated by graphics and text should be manually reviewed, especially the accuracy of key facts and whether the AI ​​illustrations are consistent with the context, to ensure the quality of the final video.


Cutting voice function

ASR automatic subtitle recognition

The ASR function of the video clip is famous for "recognizing subtitles", which can automatically convert the speech in the video or audio file into text and automatically align the timeline. It supports Chinese, English, Japanese, Korean and other languages, and the recognition accuracy is extremely high. In the 2026 version, this function has been deeply integrated with the bean bag model, which can more accurately handle colloquial sentence fragments and modal particles. Please note that some advanced recognition features (such as high-definition subtitles or specific special effects) may require a Professional Edition (Pro) subscription.

TTS speech synthesis (AI dubbing)

Cutting provides an extremely rich TTS sound library. Users only need to enter text to generate dubbing with one click. The voice styles cover news broadcasts, lively girls, deep uncles, funny dialects and popular film and television commentary sounds. The updated version in 2026 further strengthens the "emotional voice", making the synthesized voice sound more like a real person's cadence and breathing.

Voice Cloning

This is a powerful feature introduced by Jiuying in recent years. Users only need to record a personal voice of about 10 seconds, and the system can extract the timbre characteristics and complete the cloning. You can then use your "own voice" to read any entered text, eliminating the trouble of repeated recording. It is very suitable for creators who need to maintain their personal brand tone.

Voice function feature table

Functional classification Core features Applicable scenarios 2026 Update Highlights
Automatic subtitles (ASR) One-click recognition and automatic alignment Vlog, instructional videos, interviews Integrate beanbag model and support bilingual subtitle optimization
Text to Speech (TTS) Hundreds of sounds, supporting dialects Advertising dubbing, lazy bag videos Added emotion control (surprise, sadness, etc.)
sound cloning Quickly reproduce a personal tone in 10 seconds Personal columns, audio content Improved fidelity and reduced mechanical and electronic sound
voice change Change gender, age or style Creative short films, anonymous dubbing Instant preview of voice changing effect with lower latency

Integration of smart copywriting and dubbing

Cutting can not only "transfer" voices, but also "generate" copywriting. Through the built-in AI writing tool, after the user enters a topic, the system will automatically generate a script and directly link it to the TTS function. From copywriting conception to speech generation to subtitle alignment, a one-stop AIGC creation workflow has been formed, which greatly lowers the threshold for short video production.

Cross-platform synchronization and export

Whether in the mobile app or the desktop version, the results of speech recognition and synthesis can be synchronized through the cloud drive. For professional needs, editing also supports exporting recognized subtitles to .srt format, which can be easily imported into other professional editing software (such as Premiere Pro or DaVinci Resolve) for subsequent processing.



Cutting automation

Since the computer version of Clip does not provide an official API interface, in order to achieve automatic generation of projects from manuscripts, it is usually necessary to simulate a mouse and keyboard or directly generate a draft file that can be read by Clip.


Path One: Python Simulation Automation (UI Automation)

This method is the most intuitive, simulating manual clicks on "pictures and text into films" and pasting copywriting. It is suitable for scenarios that do not require in-depth development of the underlying layer and only require automated repetitive actions.

Path 2: Screening draft script generation (JSON modification)

This is the first choice for advanced developers. The clipping project is stored locallydraft_content.jsonfile. You can write a program to generate this file directly, avoiding UI operations.

step Implementation content
Locate path Find the cut and draft directory:%LocalAppData%\JianyingPro\User Data\Projects\com.lveditor.draft\
Structural analysis analyzedraft_content.jsonintracks(track),materials(material) structure.
autofill Convert the document into text components (texts) in JSON through a Python script, and set the default font and color.

Path 3: Import using standard XML/EDL

Clips support importing standard clip exchange formats. If you have complex parameter requirements:

  1. Prepare manuscript:First use the tool to convert the document into a .srt subtitle file or .fcpxml.
  2. Parameter preset:Define transition, position and scale parameters in XML.
  3. Automatic import:After turning on editing, drag the file directly and the system will automatically restore the editing structure.

Technical points for preparing manuscripts

Note: When using the simulated click method (Path 1), be sure to ensure that the screen resolution and scaling ratio are fixed, otherwise coordinate offsets will cause automation to fail.


Video platform

YouTube searches multiple Hashtags simultaneously

Restrictions

Official YouTube Hashtag page (e.g.https://www.youtube.com/hashtag/Tag1) only supports single label search,Videos containing multiple Hashtags cannot be searched directly through the URL

For example, the following URLs are invalid:

Method 1: Use the YouTube search bar

In the YouTube search bar type:

#Tag1 #Tag2

This will search for videos that contain both #Tag1 and #Tag2, but the ordering and accuracy may not be optimal.

Method Two: Use Google Search to Limit YouTube

site:youtube.com "#Tag1" "#Tag2"

Through Google search, you can limit the search to only pages containing two Hashtags on the YouTube website, which is more accurate than YouTube's built-in search.

Method 3: Use YouTube Data API

You can search for videos through the API authoring program and filter whether they contain multiple Hashtags at the same time.

GET https://www.googleapis.com/youtube/v3/search
    ?part=snippet
    &q=%23Tag1%20%23Tag2
    &key=YOUR_API_KEY

Filter after API returnssnippet.descriptionorsnippet.tagsWhether it also contains the specified Hashtag.

in conclusion

YouTube currentlyOnly supports a single Hashtag page, if you need multi-tab search, it is recommended to use the search bar or implement the filtering logic by yourself in conjunction with the API.



OR search for multiple YouTube Hashtags

Official support status

YouTube does not support via/hashtagThe URL structure performs an OR or AND search of multiple tags and can only display videos with a single Hashtag.

Not supported example:

Method 1: Use YouTube search OR query

In the YouTube search bar type:

#Tag1 OR #Tag2

Although the Boolean operator is not officially supported, this way of writing has the opportunity to list videos that contain either tag.

You can also enter directly:

#Tag1 #Tag2

This writing method is actually a fuzzy inclusion, and the effect is closer to "OR" than "AND".

Method 2: Use Google search (OR supported)

site:youtube.com ("#Tag1" OR "#Tag2")

Google Search supports an explicit OR operation to search for YouTube pages containing any Hashtag.

Method 3: Use YouTube API to combine queries

Use the API to query the two tags separately and then merge the results. The effect is equivalent to OR:

GET https://www.googleapis.com/youtube/v3/search?q=%23Tag1
GET https://www.googleapis.com/youtube/v3/search?q=%23Tag2

The effect of "#Tag1 or #Tag2" can be achieved by combining and displaying the video lists returned twice.

in conclusion

YouTube's official website only supports a single Hashtag, but you can use the search bar, Google search or API to implement multi-tag OR search.



Searches for YouTube Tag1 but not Tag2

Official search restrictions

YouTube does not support URLs/hashtag/Tag1Other Hashtags are excluded from the structure, and explicit NOT operations are not supported.

That is to say,Unable to achieve "Tag1 but not Tag2" through URL

Method 1: Use Google search to achieve NOT results

site:youtube.com "#Tag1" -"#Tag2"

This will search for#Tag1and does not contain#Tag2's video page.

Notice:The search results are YouTube pages, which are not guaranteed to be videos. They may also be playlists, channels, or comments.

Method 2: Use YouTube Data API to filter by yourself

  1. Use the API to search for#Tag1's videos
  2. Analyze each videodescriptionortagsfield
  3. exclude containing#Tag2's videos
// Pseudo code example
if (tags.includes("Tag1") && !tags.includes("Tag2")) {
    // show this video
}

Method 3: Manual search assistance

Type in the YouTube search bar:

#Tag1 -#Tag2

This way of writing is not officially supported, but YouTube will try to respond semantically, which may sometimes work, but is unstable.

in conclusion



other

Screen recording software

OBS Studio (the first choice for professional open source)

OBS Studio is currently the most complete free video recording and live streaming software. It supports multi-scene switching, multi-source mixing and efficient hardware encoding. Although the learning curve is steep, its unlimited recording time, no watermark, and completely free features make it a standard tool for video creators and live broadcasters.

Xbox Game Bar and Clip Tool (Windows built-in)

Windows 10 and 11 users can use built-in features for recording without installing additional software. Game Bar (shortcut Win + Alt + R) is suitable for quickly recording a single game or window; while the "Clip Tool" (shortcut Win + Shift + S and switch to video mode) is suitable for selecting a specific screen area for teaching recording.

QuickTime Player (macOS built-in)

Mac users can directly use QuickTime Player or shortcut keys (Command + Shift + 5) to call the system recording tool. It provides a high degree of system integration, supports simultaneous recording of microphone sounds, and can easily record the screen of an iPhone or iPad to produce high-quality MOV format videos.

Screen recording software comparison chart

Software name Cost attribute watermark Main features
OBS Studio Open source and free none Supports live broadcast, multiple audio tracks, and plug-in expansion
ShareX Open source and free none Lightweight and excellent GIF recording performance
Loom Free/Subscription none Automatically generate cloud sharing link after recording
Bandicam Paid software The free version has Optimized for game recording, small file size

Loom and online recording tools (quick collaboration)

For users who need to quickly share their workflow, cloud recording tools such as Loom are the best choice. Such tools usually exist in the form of browser extensions. After the recording is completed, the video will be uploaded to the cloud immediately and a URL will be generated. The recipient can directly click to view the file without downloading it, greatly improving the efficiency of asynchronous communication.

Screen recording selection considerations

Three key points should be considered when selecting software: the first is "system resource usage". For high-performance games, it is recommended to choose software that supports hardware acceleration; the second is "output format" to confirm whether it supports MP4 or high-definition MKV; the third is "audio source processing", whether it is necessary to record the system's internal sound and microphone narration at the same time.



CAD

What is CAD?

CAD (Computer-Aided Design) refers to the technology of using computer software to design and draw products, buildings, mechanical parts or other objects. Compared with traditional hand-drawing, CAD has the advantages of accuracy, easy modification, reusability and 3D modeling.

Common CAD software (mainstream in 2025)

Main application areas

Study Suggestions (Taiwan Region)

  1. Learn firstAutoCAD 2D→ Establish basic drawing concepts
  2. Advanced StudiesSolidWorksorFusion 360(Most commonly used in mechanical departments)
  3. Architecture related disciplinesRevit(BIM)
  4. Multiple practice certificates: SolidWorks CSWA/CSWP, AutoCAD Certified Professional
  5. Resources: TQC+ CAD certification, masters, open source bar, YouTube channel (such as "Old Stone Talks")


face recognition

Technical principles

Facial recognition is a biometric technology that performs identity verification by analyzing the visual characteristics of a person's face. The main steps include:

Modern systems often add live detection (such as 3D structured light or infrared) to prevent counterfeiting attacks.

advantage

Disadvantages and Challenges

Application scenarios

Privacy and regulatory issues

Facial information is a sensitive biometric and cannot be changed. Once it is leaked, the risk is high. It often triggers controversies over surveillance and privacy invasion, which may lead to a chilling effect on freedom of expression.

In Taiwan, subject to the Personal Data Protection Act, collection requires consent or is necessary in the public interest. Public sector use must comply with the principle of proportionality and avoid arbitrary monitoring.

Internationally, the European Union's GDPR strictly restricts biometric data; some American cities prohibit immediate use by the police. Enterprises should provide an exit mechanism and encrypted storage of feature values ​​rather than raw images.



Real-time translation of part of the screen

Pot Desktop (open source all-rounder)

This is currently the most recommended open source tool on Windows and Mac platforms. It supports custom shortcut keys. After selecting any area on the screen, it will automatically perform OCR recognition and pop up a translation window. Its advantage is that it integrates Google, DeepL and a variety of AI models, and the translation quality is very accurate.

Gaminik (screen overlay type)

The functionality of this software is closest to that of Google Lens on mobile phones. It can overlay the translated text directly on the original picture or game screen, keeping the layout uncluttered. It works best for scenes where you need to read the translation while looking at the picture.

Copy Translator (lightweight and efficient)

This is a tool focused on monitoring clipboards and partial screenshots. When you use the screenshot function to select an area, it will quickly recognize the text and display it in the sidebar, which is suitable for use when reading professional documents or operating complex software interfaces.

Tool Features Comparison Chart

Tool name Main advantages Display mode Applicable scenarios
Pot Desktop Supports multiple AI translation engines Independent window pop-up General and academic reading
Gaminik Original text location overlay translation Interface overlay (Overlay) games, comics
Copy Translator Extremely lightweight and responsive Side comparison window Work, interface translation
ShareX Completely free and powerful Web page or text window Occasionally screenshot translation

ShareX (multi-functional integrated type)

If you have screenshot needs, ShareX has built-in OCR recognition and translation functions. After taking a screenshot, you can set it to automatically open the translated web page or display the recognition results in a local window. Although there are many steps, it is completely free and does not occupy resources.

Immersive Translation Desktop (Files and Pictures)

In addition to browser plug-ins, its desktop version also supports image OCR translation. It adopts bilingual comparison mode, which is very friendly to the reading experience of long articles or partial screenshots of PDFs.



sound software

speech synthesis

TTS definition and operating principle

TTS stands for Text-to-Speech, and the Chinese translation is "speech synthesis" or "text-to-speech". This technology converts electronic text into synthetic speech. Modern TTS systems usually include two parts: the front-end processing is responsible for converting text into phonetic symbols and intonation information, and the back-end uses neural networks or waveform synthesis technology to generate natural-sounding sounds.

Mainstream TTS engine classification

TTS services currently on the market can be divided into the following categories. Cloud TTS (such as Microsoft Edge TTS, OpenAI TTS) has a high degree of fidelity and can simulate human breathing and emotional ups and downs. The advantage of built-in TTS (such as Windows SAPI5, macOS VoiceOver) is that it does not require a network connection and has extremely fast response speed. It is often used for screen reading and auxiliary tools.

Core indicators of speech synthesis

Evaluation index illustrate Influencing factors
Naturalness Does the voice sound like a real person? Emotional ups and downs, intonation changes, pause points
Intelligibility Is the pronunciation accurate and easy to understand? Sampling rate, encoding format, pronunciation engine
Latency The time from text input to sound output Network bandwidth, local computing performance
Multi-language support Whether to support multiple languages ​​and dialects Training database size and breadth

Common application scenarios

TTS technology is widely used in daily life, such as audiobook reading, navigation systems, voice assistants (such as Siri and Google Assistant), AI dubbing of audio and video content, and screen-assisted reading for the visually impaired. With the development of deep learning, TTS can now even achieve "voice cloning" through a small number of samples, perfectly replicating the timbre of a specific person.

How to choose the right TTS

If you pursue the ultimate reading quality and emotional expression, it is recommended to give priority to cloud APIs based on neural networks (such as Google Cloud Text-to-Speech or Azure Speech Service); if you consider privacy or need to run in a non-network environment, you should choose an open source engine that supports local computing (such as Piper or Sherpa-ONNX).



speech synthesis software

ElevenLabs (the first choice for emotional immersion)

This software currently represents the highest technical level of AI speech synthesis. It can not only simulate the subtle breathing and emotional ups and downs of human beings, but also has a powerful voice cloning function. For creators who need to produce high-quality audiovisual content, podcasts, or anthropomorphic characters, it is the best tool to avoid a "mechanical" feel.

Microsoft Azure Speech Studio (Diverse Tone Styles)

The voice services provided by Microsoft are very popular in the professional field. Its feature is that it has a wealth of "tone" choices. For example, the same voice can be switched to a news broadcast, warmth, customer service, or even a dissatisfied or excited style. This makes it very rich in listening experience when dealing with long narratives or instructional videos.

Google Cloud Text-to-Speech (extremely accurate speech)

Based on DeepMind's WaveNet technology, the speech provided by Google is extremely accurate in grammatical parsing and sentence segmentation. It is particularly good at handling multiple languages ​​and dialects, making it an extremely reliable choice for business applications, navigation systems or translation tools that require a high degree of stability and correct pronunciation.

TTSMaker (lightweight free web tool)

This is a very user-friendly online platform. It integrates TTS engines from multiple mainstream manufacturers. Users can enter text and export high-quality audio files without registering an account or making complicated settings. It supports a large number of Chinese speakers and provides a pause interval adjustment function, which is suitable for quickly producing simple narrations.

Speech synthesis software feature comparison table

Tool name Core advantages Main disadvantages Suitable for ethnic groups
ElevenLabs Extreme simulation, sound cloning Less free quota Video creator, game dubbing
Azure TTS Diverse and stable tone styles The backend interface is more professional and complex Enterprise users, long text reading
OpenAI TTS Sound quality is modern and natural Unable to adjust tone details AI assistant, instant conversation
TTSMaker Completely free and intuitive to use Lack of advanced emotional tuning Students and those who need temporary audio files
NaturalReader Supports reading multiple file formats High quality sound comes for a fee Learners, Dyslexia Assistance

NaturalReader (Education and Reading Assistance)

This software focuses on improving the reading experience. In addition to simple text-to-speech, it can also directly open PDF, Word and other formats and read them aloud. It also has a plug-in version on the Chrome browser, which allows users to simultaneously convert text into natural human voice output while browsing the web or reviewing papers.

Speechelo (one-time purchase plan)

Speechelo is a software designed for marketing videos. The beauty of it is that you can add breaths, pauses, and emphasis to your speech with just a few clicks, and without paying a subscription fee (which is usually a buyout). This is very attractive for small businesses that need to quickly create a product introduction or sales video.

Key Selection Criteria for Speech Synthesis Software

When evaluating these tools, it is recommended to give priority to three points: first, "language and accent support" to confirm whether the required local accents are included; second, "output permissions", some audio files produced by the free version cannot be used for commercial purposes; and finally, "level of customization", whether the pronunciation details and playback speed can be manually adjusted.



Automatic speech recognition

ASR definition and basic process

ASR stands for Automatic Speech Recognition, which means "automatic speech recognition". Its goal is to convert human speech signals into corresponding text. The development process usually includes: preprocessing (noise reduction, feature extraction), acoustic model (identifying phonemes), language model (correcting grammar and vocabulary logic), and finally the decoder output text. Modern ASR has completely shifted from traditional hidden Markov models (HMM) to end-to-end deep learning models based on Transformer or Conformer architecture.

Mainstream ASR open source models and frameworks

Model/Framework Developer Core features
Whisper OpenAI It has strong robustness, supports multi-lingual transcription and translation, and has a high tolerance for background noise.
Kaldi Open source community The industry standard for traditional ASR, suitable for scenarios that require highly customized acoustic and language models.
Sherpa-ONNX The new generation of Kaldi Focusing on edge-side inference, it supports multi-platform deployment (Android, iOS, Linux) and has extremely low latency.
Faster-Whisper Community optimization Whisper is reimplemented using CTranslate2, which is more than 4 times faster than the original version and saves video memory.

key development indicators

When evaluating the performance of an ASR system, the core indicator isWER (Word Error Rate, word error rate). In Chinese development environment, usually useCER (Character Error Rate, character error rate). In addition, for instant messaging or meeting recording applications,RTF (Real-time Factor, real-time factor)It is also an important consideration to ensure that the time required to process 1 minute of speech is well below 1 minute.

Cloud API and local development

Developers can choose to call cloud services such as Google Cloud Speech-to-Text, Azure Speech or AWS Transcribe. The advantage is that the model is continuously updated and supports real-time streaming recognition (Streaming). If security and cost are considered, they can choose to deploy Whisper or FunASR (Alibaba open source) on a private server. These models can greatly improve the accuracy through fine-tuning when processing terminology in specific fields (such as medical and legal).

Technology integration and application scenarios

ASR is often used in conjunction with TTS to build conversational AI. During development, voice activity detection (VAD) needs to be specially processed to accurately determine when the user starts and stops speaking. Common applications include: real-time conference subtitle generation, voice-driven smart home interfaces, automated customer service systems, and automatic video and audio subtitle tools.



Speech to text software

OpenAI Whisper (industry standard model)

This is currently the world’s most powerful speech recognition model, supporting more than 90 languages. Its advantage is that it has a high tolerance for background noise and can automatically handle punctuation marks and sentence breaks. Many third-party software (such as Cutting, Buzz) are developed based on this model, which is suitable for long video transcription or translation scenarios that require extremely high accuracy.

Yating's verbatim manuscript (localized Taiwanese accent)

This is an ASR software developed for the Taiwan market. It specifically optimizes the recognition of Taiwanese Mandarin and supports a mixed Chinese and English speech environment. It can accurately identify localized terms and accents, and is very suitable for organizing business meeting records, class notes, and interview transcripts in Taiwan.

Vook / Feishu Miaoji (cloud collaboration)

This type of software combines ASR with cloud file collaboration. After the recording or meeting ends, the system will automatically generate a verbatim transcript and support the "voiceprint recognition" function, which can automatically distinguish different speakers. Users can directly click text on the web page, and the system will jump to the corresponding audio file clip, greatly improving proofreading efficiency.

ASR software feature comparison table

Software name core technology Deployment method Applicable groups
Whisper Desktop OpenAI Whisper Local side (high privacy) Video creator, translator
Yating verbatim manuscript Localized neural networks App / web version Students, Taiwanese business people
Otter.ai Deep Learning Cloud services English meetings, multinational teams
iFlytek heard IFlytek ASR App / web version A large number of Chinese shorthand and interviews
Buzz Whisper / HuggingFace Local open source software Go for completely free, unlimited transcription

Otter.ai (first choice for English conferences)

If your main need is an English-speaking environment, Otter.ai is the current leader. It can instantly record online meetings such as Zoom and Google Meet and automatically generate meeting summaries (AI Summary). Its strengths lie in its immediacy and high recognition rate of English proper nouns. It is a commonly used tool by foreign companies and international students.

Buzz (open source local transcription tool)

This is an open source desktop software based on Whisper, which is completely free and does not require an Internet connection. It supports real-time transcription and offline file processing, and users can choose different levels of models (Tiny, Base, Large) according to computer hardware. Since the data is completely processed locally, it is extremely advantageous for government or corporate documents with high privacy requirements.

Things to consider when choosing ASR software

When choosing, you should pay attention to the following three points: first, "speech speed and accent adaptability", confirm whether the software can handle voices that speak faster or have local accents; second, "file export format", whether it supports SRT subtitle files with timeline or plain text TXT; third, "multi-person recognition capability", whether it can automatically distinguish the conversation between A and B and mark the speaker.



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