Need speech to text api with diarization and timestamps

If you need speech-to-text with diarization + timestamps, here are solid API options:

Best options

1) OpenAI Whisper API

• Speech-to-text
• Timestamps: yes
• Diarization: not built-in
• Good transcription quality, simple API

Use if: you only need accurate transcription + word/segment timestamps, and can handle speaker labeling separately.

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2) AssemblyAI

• Speech-to-text
• Diarization: yes
• Timestamps: yes
• Also offers chapters, summaries, sentiment, etc.

Use if: you want an easy API with diarization out of the box.

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3) Google Cloud Speech-to-Text

• Speech-to-text
• Diarization: yes
• Timestamps: yes
• Strong enterprise support

Use if: you’re already on Google Cloud or need scalable production tooling.

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4) AWS Transcribe

• Speech-to-text
• Speaker diarization: yes
• Timestamps: yes
• Good AWS integration

Use if: your stack is on AWS.

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5) Deepgram

• Speech-to-text
• Speaker diarization: yes
• Timestamps: yes
• Fast and developer-friendly

Use if: you want low-latency and clean JSON output.

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Recommendation

If your main requirement is:

• Easy API → AssemblyAI
• Best general transcription quality → Whisper/OpenAI
• Cloud enterprise integration → Google/AWS
• Fast realtime + diarization → Deepgram

Important note

Not every STT API supports true diarization. Some only provide:

• speaker labels per segment
• word-level timestamps
• no automatic speaker separation

If you want, I can give you:

1. a comparison table,
2. Python/Node.js examples, or
3. the best API for your exact use case (batch, realtime, multilingual, cheap, etc.).