How do I transcribe podcasts into text with timestamps?

You can do this in a few different ways, depending on how accurate and automated you want it to be.

Option 1: Use an AI transcription service

This is usually the easiest.

Popular tools:

• OpenAI Whisper (via apps or API)
• Descript
• Otter.ai
• Sonix
• AssemblyAI
• Happy Scribe

Typical workflow:

1. Upload the podcast audio file.
2. Choose transcription settings if available.
3. Get back text, often with timestamps.
4. Export as:
   • plain text
   • SRT/VTT captions
   • Word/PDF/docx
   • JSON with timestamps

Option 2: Use Whisper locally or via API

If you want control and timestamps, Whisper is a strong choice.

Using the API

You upload the audio and request transcription. Many implementations can return timestamped segments.

Using local Whisper

You can run Whisper on your computer:

• good if you want privacy
• works offline after setup
• supports timestamps at the segment level

Example tools:

• openai-whisper
• faster-whisper

Option 3: Speech-to-text platforms with word timestamps

If you need timestamps for each word, use services like:

• AssemblyAI
• Deepgram
• Google Cloud Speech-to-Text
• AWS Transcribe

These often provide:

• word-level timestamps
• speaker diarization
• punctuation
• confidence scores

Option 4: Manual transcription with timestamps

If the podcast is short or you need high editorial accuracy:

1. Play the audio in a transcription app.
2. Pause every few seconds.
3. Insert timestamps manually, such as:
   • 00:00:12 - Intro begins
   • 00:01:05 - Guest introduces topic

This is slower but useful for research or highly edited transcripts.

Best practices

• Use a clean audio file if possible.
• Prefer WAV or high-quality MP3/M4A.
• Remove background noise if you can.
• If the podcast has multiple speakers, use a tool with speaker diarization.
• If you need searchable transcripts, export to TXT, DOCX, or JSON.
• If you need subtitles, export to SRT or VTT.

If you want a simple technical workflow

A common setup is:

1. Extract podcast audio.
2. Run Whisper or another STT model.
3. Generate timestamped segments.
4. Post-process into your preferred format.

Example output format

[00:00:00] Host: Welcome to the podcast.
[00:00:15] Guest: Thanks for having me.
[00:00:22] Host: Today we’re discussing AI in media.

If you want, I can also give you:

• a no-code workflow
• a Python script
• a Whisper/API example
• a best tool recommendation for your budget