Prompt
I need a transcription API for a meeting app that supports real-time captions, automatic language detection, and SRT export. What should I use?
Latest observation
For a meeting app, you’ll want a speech-to-text service that supports:
- Real-time streaming captions
- Automatic language detection
- Subtitle export like SRT
- Ideally: good latency, diarization, punctuation, and scaling
Best options
1. AssemblyAI
Good fit for your use case.
- Supports real-time transcription
- Has automatic language detection
- Can generate SRT/VTT-style outputs
- Good developer experience and meeting-app-friendly features
Why choose it:
- Strong real-time API
- Easy to integrate
- Useful extras like speaker labels, summarization, chaptering
2. Google Cloud Speech-to-Text
- Supports streaming transcription
- Has language identification options
- Can be paired with your app to generate SRT yourself
Why choose it:
- Very robust infrastructure
- Good for global scale
- More work if you want subtitle export and meeting-specific features
3. Deepgram
Another strong option for real-time captions.
- Low-latency streaming transcription
- Automatic language detection
- Subtitle-friendly outputs, including SRT generation in many workflows
Why choose it:
- Fast and accurate for live captions
- Developer-friendly
- Often favored for real-time apps
4. AWS Transcribe
- Supports streaming
- Has language identification
- You can export captions to SRT/VTT
Why choose it:
- Good if your stack is already on AWS
- Reliable and scalable
Recommendation
If you want the best balance for a meeting app, I’d start with:
- AssemblyAI if you want the easiest path to meeting features and SRT export
- Deepgram if you care most about real-time latency
- Google Cloud Speech-to-Text if you already use Google Cloud
- AWS Transcribe if you’re on AWS
My practical pick
For your requirements, I’d recommend:
AssemblyAI or Deepgram
They’re usually the fastest to get working for:
- live captions
- auto language detection
- subtitle export
If you want, I can also give you:
- a feature comparison table, or
- a recommended architecture for live captions + SRT export in a meeting app.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
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