⚡ CaptionCraft Studio Browser-Based AI

Free AI Subtitle Generator & Caption Editor

Generate subtitles from video, edit the transcript, style captions, export SRT files, and render a captioned video directly in your browser.

A quick note on how this free tool works:

The High Accuracy Engine is smarter and reads native scripts like Devanagari, but requires a larger initial download to your browser memory.

Step 3: Upload Video

Drag and drop a video here to generate timestamped captions automatically.

AI Subtitle Generator for Videos

CaptionCraft Studio is a browser-based subtitle and caption editor for creators who need a transcript they can actually edit before publishing. Upload a video, choose a language and transcription model, generate timestamped captions, then adjust the text and pacing before exporting.

The tool is designed for short-form and social video workflows, including YouTube Shorts, Instagram Reels, and TikTok-style vertical videos. It can also be used when you simply need an editable transcript, an SRT subtitle file, or a rendered video with captions burned into the picture.

What this subtitle tool can do

Automatic transcription: Generate timestamped speech captions from an uploaded video using a Whisper-based speech recognition model in the browser.
Caption editing: Correct the generated text line by line and jump to a caption's timestamp in the video.
Word pacing: Split captions into smaller groups of words for faster, more readable on-screen captions.
Caption styling: Change fonts, text colors, highlights, background boxes, size, position, outlines, and glow.
Video editing controls: Set a trim range, change playback speed and volume, and apply basic brightness, contrast, saturation, and sepia adjustments.
Subtitle export: Download or copy an SRT file, or render a WebM video with the captions and selected video adjustments.

How to use the AI subtitle generator

  1. Choose the language and model: Use automatic detection or choose English, Hindi, Spanish, French, or German. Select the faster base model or the higher-accuracy small model.
  2. Upload your video: Drag a supported MP4, WebM, QuickTime, or M4V video into the upload area.
  3. Review the transcript: Wait for the browser to load the required model, then check the generated timestamped captions in the editor.
  4. Adjust the captions: Change word pacing, correct text, move captions vertically, change styling, or use the sync offset when timing needs a small correction.
  5. Export what you need: Download an SRT file for use in another editor, or render the captioned video as WebM.

Supported languages and browser processing

The current interface offers automatic detection plus English, Hindi, Spanish, French, and German. Transcript quality depends on the language, audio clarity, accents, background noise, music, and the selected model. The generated text should be reviewed before publishing, especially for names, numbers, and mixed-language speech.

CaptionCraft Studio performs video decoding and speech inference in the browser. The page still needs to download the AI model and supporting runtime resources from external CDNs when they are not already cached. Large videos and larger models can use significant memory and processing power, particularly on mobile devices.

Frequently Asked Questions

Are my videos uploaded for transcription?

The uploaded video is decoded and processed in your browser. The required AI model and runtime resources are downloaded from external CDNs when needed.

Can I edit the generated subtitles?

Yes. Use the Edit Text tab to correct transcript text, jump to timestamps, and apply a global sync offset.

Can I download an SRT file?

Yes. Download the generated SRT file or copy the subtitle text to your clipboard for use in other video editors.

Does it work with Hindi subtitles?

Yes. Hindi is available in the language selector. Accuracy can vary with audio quality and the model you choose, so review the transcript before export.

Can I render captions directly onto the video?

Yes. The Export Video tab can render the selected caption style, trim range, and video adjustments into a WebM file. The export runs in the browser and can be demanding on slower devices.

Technology & processing details

This utility uses Whisper speech-recognition models through the Transformers.js WebAssembly runtime. The application runs transcription and video editing tasks on the user's device. Model and runtime resources are fetched from external CDNs as required; the uploaded video is not sent to a KTools HQ application server by the tool's client-side processing flow.