I need speaker-separated transcripts for meeting recordings. What API fits that?

For speaker-separated transcripts from meeting recordings, you typically want an API that supports diarization (identifying who spoke when) and ideally timestamps.

Good API options

1. OpenAI Speech-to-Text / transcription API

   • Great for high-quality transcription.
   • Can return timestamps.
   • If you need true speaker separation, check whether the specific endpoint/workflow you use supports diarization or whether you’ll need to combine transcription with a diarization step.

2. AssemblyAI

   • Strong fit for meeting recordings.
   • Supports speaker diarization out of the box.
   • Easy to get transcripts labeled by speaker.

3. Deepgram

   • Also a strong option for diarized transcription.
   • Good for real-time and batch audio.
   • Supports speaker labels and timestamps.

4. Google Speech-to-Text

   • Supports speaker diarization in some modes.
   • Good enterprise option, though integration can be a bit more involved.

5. AWS Transcribe

   • Supports speaker diarization.
   • Reliable for meeting/audio workflows.
   • Good if you already use AWS.

If your main requirement is “who said what”

Pick one of:

• AssemblyAI (simplest for diarization)
• AWS Transcribe
• Deepgram

If you want the best overall transcription quality first

• Use OpenAI for transcription
• Add a separate diarization step if needed

Quick recommendation

If your goal is specifically speaker-separated meeting transcripts, I’d start with:

• AssemblyAI if you want the most straightforward experience
• AWS Transcribe if you’re already in AWS
• Deepgram if you want strong API flexibility and real-time support

If you want, I can also give you:

• a feature comparison table
• a recommended architecture
• or sample API code for one of these.