Prompt
Can you recommend a speech-to-text API for transcribing call recordings with speaker labels, timestamps, and webhooks?
Latest observation
Oct 11, 2026
OpenAI APIWeb search: off
Yes — for call recordings with speaker labels, timestamps, and webhooks, the best-fit APIs are usually:
Top recommendation: AssemblyAI
Why it fits well:
- Speaker diarization: identifies different speakers
- Word-level timestamps: good for syncing transcripts with audio
- Async transcription + webhooks: ideal for call recordings
- Easy developer experience: simple API and solid docs
- Also offers extras like sentiment, chapters, summaries, and PII redaction
Best for: SaaS apps, call analytics, support QA, sales coaching
Strong alternatives
Deepgram
- Very fast
- Speaker diarization
- Word timestamps
- Supports async jobs and callbacks/webhooks
- Strong for real-time and batch transcription
Best for: lower latency, high-volume pipelines, real-time or near-real-time use cases
Google Cloud Speech-to-Text
- Reliable and scalable
- Speaker diarization available
- Timestamps available
- Webhooks are not as native/simple as dedicated transcription platforms, so you often need to build orchestration yourself
Best for: teams already on GCP, especially if you want broader cloud integration
AWS Transcribe
- Speaker identification/diarization
- Timestamps
- Asynchronous transcription jobs
- Integrates well with AWS eventing patterns, though “webhooks” typically require extra setup via Lambda/SNS/SQS
Best for: AWS-native stacks
OpenAI Whisper-based solutions
- Good accuracy, especially for noisy audio
- But speaker labels and webhooks are not native in the same way
- Usually requires additional tooling for diarization and job completion notifications
Best for: custom pipelines where you can assemble diarization separately
Quick recommendation by priority
- Simplest all-in-one for call recordings: AssemblyAI
- Best for speed/scale: Deepgram
- Best if you’re already in a cloud ecosystem: AWS Transcribe or Google STT
- Best raw transcription quality in difficult audio: Whisper-based stack, but more work for speaker labels/webhooks
What I’d choose
If you specifically need:
- speaker labels
- timestamps
- webhooks
- and you want the least engineering effort
I’d start with AssemblyAI.
If you want, I can also give you:
- a feature comparison table,
- a pricing/latency comparison, or
- a sample API workflow for uploading a call recording and receiving a webhook callback.