How to transcribe video to text with timestamp in Windows 10?

Using Pytranscript to transcribe video to text with timestamp on Windows 10 is a viable, fully free, and open-source method. It acts as a command-line wrapper that automates the underlying tools to produce timestamped output directly.

The core command for a timestamped SRT file is straightforward:

pytranscript video.mp4 -m vosk-model-en-us-aspire-0.2 -f srt

Here is what each part does:

• video.mp4: Your input video file. Pytranscript handles the audio extraction automatically via FF mpeg .
• -m vosk-model-en-us-aspire-0.2: This is the required path to a Vosk speech recognition model. You must download a model separately .
• -f srt: This specifies the output format as SRT, which includes the timestamps you need . You can also choose vtt or json.

After running this, you will get a .srt file containing the text with its corresponding timecodes.

To successfully transcribe video to text with timestamp, you need to be aware of a few practical details:

• Dependencies Are Mandatory: You must install both FF mpeg and a Vosk model (for speech recognition) before Pytranscript will work . The Vosk model is not bundled and needs to be downloaded separately from the Vosk website.
• Maintenance Status is Inactive: The project has not received updates in over a year and has a very small community (only 4 GitHub stars) . This means it is unlikely to receive bug fixes or new features, so you should be prepared to troubleshoot any issues yourself.
• Accuracy Depends on the Model: The quality of your transcription will depend heavily on the Vosk model you choose. Smaller models are faster but less accurate, while larger models offer better results at the cost of speed and disk space.

Pytranscript is a solid, free way to transcribe video to text with timestamp, but it requires some manual setup with dependencies and relies on a project that is no longer actively maintained