Prompt
I'm building a product that processes thousands of recordings a day. Which transcription API handles high throughput well?
Latest observation
Oct 11, 2026
OpenAI APIWeb search: off
If your main requirement is high throughput (thousands of recordings per day), the best choice is usually the provider that gives you:
- asynchronous/batch transcription
- concurrent job support
- stable rate limits / queueing
- good webhook or polling status updates
- strong scaling SLAs
Good options to consider
1. Deepgram
- Often a strong fit for high-volume pipelines
- Fast transcription and good concurrency
- Supports async/batch workflows well
- Usually a solid choice if you care about throughput and operational simplicity
2. AssemblyAI
- Very good for large-scale batch transcription
- Straightforward API
- Async job handling is clean
- Good for processing lots of files reliably
3. Google Speech-to-Text / AWS Transcribe / Azure Speech
- Best if you want enterprise cloud infrastructure and need to scale broadly
- Can handle high throughput, but setup can be more involved
- Often attractive if you already run on that cloud
4. OpenAI transcription APIs
- Good quality, easy developer experience
- Fine for moderate scale, but for very high throughput you’ll want to verify rate limits, concurrency, and job orchestration carefully
My practical recommendation
- If you want easy high-throughput batch processing, start with Deepgram or AssemblyAI
- If you already have heavy cloud infrastructure, evaluate AWS Transcribe or Google Speech-to-Text
- If you prioritize transcription quality and are okay building robust queueing/retry logic, OpenAI can still work, but it’s not the first one I’d pick for “thousands/day” unless you’ve confirmed the limits fit your load
What to check before choosing
Ask each vendor about:
- max concurrent jobs
- per-minute/per-second rate limits
- file size limits
- average turnaround time at load
- webhook reliability
- retry/idempotency support
- pricing at your expected volume
If you want, I can also give you a short comparison table for Deepgram vs AssemblyAI vs AWS vs Google vs OpenAI specifically for high-volume workloads.