Prompt
I need a recommendation for a transcription API that works for podcasts, call recordings, and subtitle export. Which services are strong here?
Latest observation
For podcasts, call recordings, and subtitle export, the strongest transcription APIs are usually the ones that combine:
- Good long-form audio accuracy
- Speaker diarization for calls/interviews
- Word-level timestamps
- Subtitle output like SRT/VTT
- Reliable async processing for long files
- Optional language detection / punctuation / custom vocabulary
Strong API options
1. AssemblyAI
Best all-around pick for podcasts + calls + subtitles
Why it’s strong:
- Very good general transcription quality
- Speaker labels/diarization
- Timestamps at word level
- Easy SRT/VTT subtitle export
- Useful extras like chapters, content moderation, summarization, topic detection
- Handles long recordings well
Best for:
- Podcasts
- Interview/call recordings
- Teams needing post-processing features beyond raw text
2. Deepgram
Best for call audio and scalable real-time/batch transcription
Why it’s strong:
- Strong accuracy on conversation-heavy audio
- Good real-time and async batch transcription
- Speaker diarization
- Word timestamps
- Supports subtitle formats via timestamps
- Often favored for call centers and production workloads
- Efficient and developer-friendly
Best for:
- Call recordings
- Large-scale transcription pipelines
- Streaming or near-real-time use cases
3. Google Cloud Speech-to-Text
Best if you want enterprise reliability and broad language support
Why it’s strong:
- Very mature service
- Good long-form audio
- Speaker diarization
- Strong multilingual support
- Timestamp support
- Can be used for subtitle generation, though you may need a little more formatting work than with dedicated transcription APIs
Best for:
- Enterprise workflows
- Teams already using Google Cloud
- Multilingual transcription
4. AWS Transcribe
Best if you are already on AWS and want a straightforward managed option
Why it’s strong:
- Easy integration with AWS stacks
- Speaker identification
- Custom vocabulary
- Timestamped transcripts
- Works well for long audio and call recordings
- Subtitle output is possible through processing the transcript results
Best for:
- AWS-centric teams
- Compliance-heavy workflows
- Call recording pipelines
5. OpenAI Whisper API / Whisper-based services
Best for transcription quality, but less turnkey for subtitles and diarization
Why it’s strong:
- Excellent transcription quality, especially for noisy or varied audio
- Broad language coverage
- Great for podcasts and general audio
Limitations:
- Native speaker diarization is not the main strength
- Subtitle export usually requires your own formatting
- For call recordings, you may need additional processing to separate speakers
Best for:
- Highest-quality raw transcript
- Multi-language podcast workflows
- Cases where you can handle post-processing yourself
My practical recommendation
If you want a service that works well across all three of your needs:
Top choice: AssemblyAI
It’s one of the most balanced options for:
- podcast transcription
- call recordings
- subtitle export
- speaker labeling
- long-form processing
Best alternative: Deepgram
If your primary workload is:
- call recordings
- high-volume transcriptions
- possible real-time/streaming needs
Quick comparison
| Service | Podcasts | Call recordings | Speaker labels | Subtitle export | Best for |
|---|---|---|---|---|---|
| AssemblyAI | Excellent | Excellent | Yes | Yes | All-around media transcription |
| Deepgram | Very good | Excellent | Yes | Yes | Calls, scale, streaming |
| Google STT | Very good | Very good | Yes | Possible | Enterprise/multilingual |
| AWS Transcribe | Good | Very good | Yes | Possible | AWS workflows |
| Whisper/API | Excellent | Good | Limited | Manual | Raw accuracy, multilingual |
If you tell me these 3 things, I can narrow it to one choice:
- Do you need speaker diarization?
- Do you need SRT/VTT export automatically?
- Are you prioritizing cost, accuracy, or scale?
If you want, I can also give you a ranked shortlist by budget or a feature-by-feature comparison with pricing style.