Head-to-head comparison
Cleanvoice Transcripts vs Deepgram
Two of the transcription tools podcasters reach for. Here's how they differ on pricing, features, audience, and the trade-offs that actually matter day-to-day.
Transcription bundled with Cleanvoice's noise and filler removal
Best for: Podcasters who already pay Cleanvoice for filler-word removal and want transcripts in the same upload.
Enterprise voice AI APIs with a focus on speed, scale, and unified voice agents.
Best for: Enterprise voice infrastructure
At a glance
The honest trade-offs
Cleanvoice Transcripts
Pros
- Transcripts align with cleaned audio output
- Filler-word stats baked into the report
- API available
Watch-outs
- Best value only if you use the main Cleanvoice product
- No human review tier
- Pricier than Whisper API for transcript-only work
Deepgram
Pros
- Excellent latency for real-time voice
- Strong enterprise compliance and self-hosting
- Unified voice agent API simplifies integration
Watch-outs
- Developer-only, no end-user app
- Documentation can be dense for newcomers
- Pricing complexity for smaller teams
Which one should you pick?
Pick Cleanvoice Transcripts if
You’re building around podcasters who already pay cleanvoice for filler-word removal and want transcripts in the same upload.. Cleanvoice added a transcription layer on top of its filler-word and noise removal product. Quality is Whisper-grade and timestamps align with the cleaned audio output, which is the actual killer feature.
Pick Deepgram if
You’re building around enterprise voice infrastructure. Deepgram is what large companies use when they're embedding voice into a product and need someone on the other end of an SLA. Accuracy is competitive with AssemblyAI and latency is excellent for real-time use cases.
Also worth comparing
Frequently asked
What does Cleanvoice Transcripts do better than Deepgram?
Cleanvoice Transcripts's standout is "Transcripts align with cleaned audio output". Deepgram doesn't make that promise — it leans into "Excellent latency for real-time voice" instead. If the first sentence describes your workflow, pick Cleanvoice Transcripts; if the second does, pick Deepgram.
What are the trade-offs?
Cleanvoice Transcripts: best value only if you use the main cleanvoice product. Deepgram: developer-only, no end-user app. Whether either matters depends entirely on what you actually need — neither is a deal-breaker by itself.
Can I use Cleanvoice Transcripts and Deepgram together?
Both are transcription tools so most teams pick one. Some workflows do combine them — for example, using Cleanvoice Transcripts for one show or episode type and Deepgram for another. Worth trying both free tiers before committing.