Prompt
How do I turn video files into transcripts and SRT captions?
Latest observation
Oct 11, 2026
OpenAI APIWeb search: off
You can turn video files into transcripts and SRT captions in a few ways, depending on whether you want a simple GUI tool, an API, or a fully local workflow.
Easiest options
1. Use a transcription service
Services like:
- OpenAI Whisper-based tools
- Descript
- Rev
- Otter
- VEED
- Kapwing
Usually let you upload a video and export:
- plain transcript
- SRT
- sometimes VTT / DOCX / TXT
Local / DIY option with Whisper
If you want to do it yourself on your computer, Whisper is the most common approach.
Step 1: Install Whisper
You’ll need Python and ffmpeg.
pip install -U openai-whisper
Install ffmpeg:
- Mac:
brew install ffmpeg - Ubuntu:
sudo apt install ffmpeg - Windows: install ffmpeg and add it to PATH
Step 2: Transcribe a video
whisper your_video.mp4 --model medium --output_format txt srt
This creates:
- a .txt transcript
- a .srt subtitle file
You can also choose models:
tiny= fastest, least accuratebasesmallmediumlarge= best accuracy, slower
Example:
whisper your_video.mp4 --model large --output_format srt
Using Python
If you want transcripts and captions in a script:
import whisper
model = whisper.load_model("medium")
result = model.transcribe("your_video.mp4")
print(result["text"])
To make an SRT file, use Whisper’s subtitle output or a library like srt.
If you want timestamps
SRT captions need timestamps, so the transcription tool must return word/segment timing. Whisper does this automatically.
Typical workflow
- Extract audio from video automatically
- Run speech-to-text transcription
- Export:
- TXT for transcript
- SRT for captions
Best choice depending on your goal
- Fastest and easiest: a web transcription service
- Private/local: Whisper on your machine
- Automated at scale: Whisper API or a Python pipeline
If you want, I can give you:
- a step-by-step setup for Windows/Mac/Linux, or
- a Python script that converts a folder of videos into TXT + SRT automatically.