Can you recommend a transcription API for real-time call center transcription with low latency?

Yes — for real-time call center transcription with low latency, I’d recommend looking at APIs that support streaming audio, partial results, and ideally custom vocabulary / diarization.

Best options to consider

1. Deepgram

Best overall for low-latency streaming

• Very fast streaming transcription
• Good partial/interim results
• Strong call-center use cases
• Supports custom vocabulary and keyword boosting
• Can be cost-effective at scale

Why it’s a strong fit:
If your main priority is speed + streaming quality, Deepgram is often one of the top choices.

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2. AssemblyAI

Good for transcription + post-processing features

• Streaming transcription available
• Strong accuracy
• Useful extras like summarization, sentiment, topic detection
• Good developer experience

Why choose it:
If you want more than raw transcription — e.g. analytics on calls — it’s a solid option.

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3. Google Cloud Speech-to-Text

Reliable enterprise option

• Streaming support
• Strong multilingual support
• Good scalability
• Integrates well if you already use Google Cloud

Tradeoff:
Can be slightly more complex to tune for call-center-specific terminology.

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4. AWS Transcribe

Best if you’re already in AWS

• Streaming transcription
• Speaker labeling support
• Easy integration with other AWS services
• Good enterprise compliance story

Tradeoff:
Low latency is decent, but many teams find the developer experience and accuracy tuning less convenient than Deepgram.

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5. Azure Speech to Text

Strong enterprise/compliance option

• Real-time streaming
• Good integration with Microsoft stack
• Useful if you’re in Azure-heavy environments

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My recommendation

If you want the lowest-latency real-time call center transcription, start with:

1. Deepgram
2. AWS Transcribe or Google Cloud Speech-to-Text if you’re already in those ecosystems
3. AssemblyAI if you need analytics on top of transcripts

What to evaluate in a pilot

For call center transcription, test:

• End-to-end latency from speech to text
• Interim transcript quality
• Accuracy on domain terms and names
• Speaker separation / diarization
• Handling of accents and noisy audio
• Cost per audio minute
• Compliance requirements (SOC 2, HIPAA, GDPR, PCI, etc.)

Quick rule of thumb

• Lowest latency: Deepgram
• Best analytics add-ons: AssemblyAI
• Cloud-native enterprise: AWS / Google / Azure

If you want, I can also give you a side-by-side comparison table for these APIs or recommend one based on your call volume, language, and cloud stack.