I need to transcribe recorded calls into text with timestamps and speaker labels, and I want the simplest API path. What do you suggest?

The simplest path is usually:

1) Use speech-to-text with diarization + word timestamps

If your provider supports it, choose a transcription API that can return:

• Speaker labels (diarization)
• Word-level timestamps
• High-quality transcription
• Upload-by-URL or file upload

That lets you go from audio file → structured transcript in one call.

2) If you want the easiest implementation: pick a managed transcription API

Good options:

• OpenAI transcription API if you want a simple developer experience and strong transcription quality.
• AssemblyAI if you want very straightforward diarization and timestamp features out of the box.
• Deepgram if you want fast transcription and detailed timing metadata.

3) Recommended simplest workflow

1. Upload the call recording.
2. Send it to the transcription endpoint with:
   • diarization = true
   • timestamps = word-level
3. Post-process the output into your preferred format:
   • plain text
   • JSON
   • SRT/VTT
   • “Speaker 1 / Speaker 2” transcript

4) What I’d suggest if “simplest API path” is the priority

If you want the least amount of engineering work, I’d suggest:

Option A: AssemblyAI

Best if you want:

• easy speaker labeling
• timestamps
• clean structured output
• minimal extra processing

Option B: OpenAI

Best if you want:

• one API ecosystem
• simple integration
• strong transcription quality

5) Important note on speaker labels

For recorded calls, “speaker labels” usually means:

• the model identifies different speakers
• but may not know their real names

So the output is often:

• Speaker 1
• Speaker 2

If you need real names, you’ll typically map those yourself using call metadata or a separate step.

6) If you want the absolute simplest architecture

Use:

• audio file
• single transcription API
• JSON output
• a tiny parser to format:
  • timestamps
  • speakers
  • transcript text

If you want, I can give you:

1. the best provider recommendation for your use case, or
2. a copy-paste API example in Python or JavaScript.