CLI tool to transcribe audio/video files to SRT format using OpenAI Whisper API
npm install @illyism/transcribe


Transcribe audio/video files to SRT subtitles in one command. Optimized for large files, long movies, and video editing workflows.
``bash1. Try it instantly (no install needed)
npx @illyism/transcribe video.mp4
That's it! Get your free API key here and start transcribing.
---
Why Use This Instead of Whisper CLI?
While OpenAI's Whisper has multiple ways to use it, this tool provides a simpler, more convenient experience:
| Feature | @illyism/transcribe | Official Whisper CLI | Local Whisper (whisper.cpp) |
|---------|---------------------|---------------------|----------------------------|
| Setup | Zero setup with
npx/bunx | Install Python package | Download models (~1-5GB) |
| Video Support | ✅ Automatic with FFmpeg | ❌ Audio only | ❌ Audio only |
| YouTube Support | ✅ Built-in | ❌ Manual download | ❌ Manual download |
| SRT Output | ✅ Built-in | ❌ Manual formatting | ✅ Available |
| Processing | ☁️ Cloud (fast) | ☁️ Cloud (fast) | 💻 Local (slower) |
| Cost | $0.006/min | $0.006/min | Free (after setup) |
| Internet Required | ✅ Yes | ✅ Yes | ❌ No |
| Best For | Quick tasks, videos, YouTube | API integration | Privacy, offline use |$3
- 🎬 Handles videos directly - No need to manually extract audio
- 🎥 YouTube support - Transcribe YouTube videos with just the URL
- 📝 SRT format ready - Generates subtitles automatically
- 🚀 Zero installation - Just run
npx @illyism/transcribe video.mp4
- 🔧 Simple config - One-time API key setup
- 🌐 Cross-platform - Works on macOS, Linux, WindowsPerfect for: Content creators, podcasters, and developers who need quick, accurate transcriptions with minimal setup.
$3
Got a 30-60 minute video that's 2-4GB? Other tools like Descript upload the entire video file, which takes forever and costs more.
This tool:
1. 🎬 Extracts only the audio locally (takes seconds with FFmpeg)
2. ☁️ Uploads only ~20-40MB of audio to Whisper
3. 📝 Generates SRT subtitles
Result: 10-100x faster than uploading multi-GB video files. Same quality, fraction of the time and bandwidth.
Features
- 🎬 Video & Audio Support: Works with MP4, MP3, WAV, M4A, WebM, OGG, MOV, AVI, and MKV
- 🎥 YouTube Support: Download and transcribe YouTube videos directly
- 🎯 High Accuracy: Powered by OpenAI's Whisper API
- ⚡ Smart Optimization: Automatic 1.2x speed processing + mono/16kHz extraction (optimized for dialogue)
- 📝 SRT Format: Generates standard SRT subtitle files with precise timestamps
- 🎞️ Long Movies: Automatic chunking for feature-length content (45+ minutes)
- 🎬 Editor-Friendly: Timecode offset, custom output paths, chunk size control
- 🔧 Simple Setup: Easy configuration via environment variable or config file
- 🌍 Multi-language: Automatically detects language
- 🚀 Lightning Fast: Optimized for 2-4GB+ video files
Installation & Setup
$3
`bash
npx @illyism/transcribe video.mp4
`$3
`bash
npm install -g @illyism/transcribe
or: bun install -g @illyism/transcribe
`$3
📦 Install FFmpeg (required)
`bash
macOS
brew install ffmpegUbuntu/Debian
sudo apt-get install ffmpegWindows
choco install ffmpeg
`
🎥 Install yt-dlp (optional, for YouTube)
`bash
macOS
brew install yt-dlpUbuntu/Debian
sudo apt install yt-dlpWindows
winget install yt-dlpOr with pip
pip install yt-dlp
`
🔑 Get OpenAI API Key (required)
1. Go to platform.openai.com/api-keys
2. Create a new API key
3. Copy it and set it up below ⬇️
API Key Setup (30 seconds)
One-time setup - Choose your preferred method:
$3
`bash
mkdir -p ~/.transcribe && echo '{"apiKey": "sk-YOUR_KEY"}' > ~/.transcribe/config.json
`$3
`bash
export OPENAI_API_KEY=sk-YOUR_KEY
`Don't have a key? Get one free here (takes 1 minute)
Usage Examples
`bash
Local video file
transcribe video.mp4YouTube video
transcribe https://www.youtube.com/watch?v=VIDEO_IDAudio file
transcribe podcast.mp3Disable optimization (use original audio)
transcribe video.mp4 --raw
`Outputs: Creates
video.srt in the same directory.$3
Perfect for video editing workflows:
`bash
Custom output path (file or directory)
transcribe movie.mkv --output ./subtitles
transcribe movie.mkv --output ./subtitles/movie.srtTimecode offset (for editorial timelines)
transcribe movie.mkv --offset 01:00:00.000 # Start at 1 hour
transcribe movie.mkv --offset 3600 # Same, in secondsForce chunking for very long movies
transcribe long_movie.mkv --chunk-minutes 15
`Why chunking? Movies 45+ minutes are automatically split into ~20-minute chunks for reliability. Each chunk is transcribed separately, then merged seamlessly with correct timestamps.
$3
By default, the tool optimizes large files:
`
2.7GB video → Extract audio (mono, 16kHz) → Speed up 1.2x → Chunk if >45min → Upload chunks → Transcribe → Merge & adjust timestamps
`For long movies (45+ minutes):
- Automatically splits into ~20-minute chunks
- Transcribes each chunk separately
- Merges results with correct timestamps
- Handles 2+ hour movies reliably
Result:
- ⚡ 99.5% smaller uploads (2.7GB → 12.8MB)
- 🚀 10-100x faster than uploading full video
- 🎯 ~98% accuracy maintained
- 💰 Same cost ($0.006/min)
Want original audio? Add
--raw flag.$3
`bash
npm install @illyism/transcribe
``typescript
import { transcribe } from '@illyism/transcribe'const result = await transcribe({
inputPath: 'video.mp4',
apiKey: process.env.OPENAI_API_KEY,
optimize: true // default, set false to disable
})
console.log(result.srtPath) // Path to generated SRT file
console.log(result.text) // Full transcription text
`
Full API reference
`typescript
interface TranscribeOptions {
inputPath: string // Path to video/audio file
apiKey?: string // OpenAI API key (or use env var)
outputPath?: string // Custom output path (optional)
optimize?: boolean // Enable optimization (default: true)
}interface TranscribeResult {
srtPath: string // Path to generated SRT file
text: string // Full transcription text
language: string // Detected language
duration: number // Duration in seconds
}
`
---
Details
📋 Supported Formats
- Video: MP4, WebM, MOV, AVI, MKV
- Audio: MP3, WAV, M4A, OGG, Opus
- YouTube: All videos, Shorts, youtu.be links
💰 Cost
OpenAI Whisper API: $0.006 per minute
Examples:
- 5 min: $0.03
- 30 min: $0.18
- 2 hours: $0.72
⚙️ How It Works
1. Extract audio from video (mono, 16kHz - optimized for speech)
2. Optimize: 1.2x speed + compression if >24MB
3. Auto-chunk if >45 minutes (for reliability)
4. Upload chunks to Whisper API (or single file)
5. Generate SRT with timestamps
6. Merge chunks (if needed) and adjust timestamps to match original
7. Apply timecode offset (if specified)
8. Clean up temp files
📄 SRT Output Example
`srt
1
00:00:00,000 --> 00:00:03,420
Hey and thank you for getting the SEO roast.2
00:00:03,420 --> 00:00:06,840
I'll take a look at your website and see what things we can improve.
`
Troubleshooting
"OPENAI_API_KEY not found"
Set up your API key using one of the methods in API Key Setup.
"FFmpeg not found"
Install FFmpeg:
`bash
brew install ffmpeg # macOS
sudo apt install ffmpeg # Ubuntu
choco install ffmpeg # Windows
`
"yt-dlp not found" (YouTube only)
Install yt-dlp:
`bash
brew install yt-dlp # macOS
sudo apt install yt-dlp # Ubuntu
pip install yt-dlp # Any platform
`
File not found error
Use absolute paths:
`bash
transcribe /full/path/to/video.mp4
`
API errors (502, timeout, etc.)
OpenAI API may be temporarily down. Wait 30 seconds and try again.
"Could not parse multipart form" error
If you're using Bun runtime, switch to Node.js:
`bash
Use Node.js instead of Bun
node dist/cli.js video.mp4Or install globally and use the transcribe command
npm install -g @illyism/transcribe
transcribe video.mp4
``The CLI works best with Node.js 18+ due to OpenAI SDK compatibility.
---
- 📦 NPM Package
- 🐙 GitHub Repo
- 📚 Full Changelog
- 🧪 A/B Test Results
- 🐛 Report Issues
Pull requests welcome! See GitHub repo.
MIT © Ilias Ismanalijev