Deepgram vs Auphonic
Compare audio AI Tools
10% Similar based on 1 shared tag
D
Deepgram
Speech to text and speech to speech API with real time and batch tiers, usage based pricing, and models optimized for accuracy latency and cost.
Pricing Pay as you go, From $0.05 per minute
Category audio
Difficulty Beginner
Type Web App
Status Active
Auphonic
AI audio post production that levels loudness reduces noise handles multitrack and exports clean masters via web or API with a generous free tier and affordable credit plans.
Pricing Free / Starts $11 per month
Category audio
Difficulty Beginner
Type Web App
Status Active
Feature Tags Comparison
Only in Deepgram
speech-to-textreal-timebatchagents
Shared
api
Only in Auphonic
audiolevelerloudnessnoise-reductionpodcasting
Key Features
Deepgram
- • Real time and batch transcription with streaming APIs
- • Tiered models for accuracy cost and latency tradeoffs
- • Diarization language detection and PII redaction
- • Word timestamps and confidence for precise alignment
- • SDKs and webhooks to integrate quickly in apps
- • Usage dashboards and alerts for cost control
Auphonic
- • Loudness normalization to standards like EBU R128 and ITU
- • Intelligent leveler that balances speakers and music beds
- • Noise hum and reverb reduction for clearer dialogue
- • Speech to text shownotes and chapter generation
- • Multitrack algorithms and bleed remover for panel shows
- • Watch folders API and automatic publishing to hosts
Use Cases
Deepgram
- → Transcribe calls and meetings for searchable archives
- → Power real time agents that listen and respond quickly
- → Auto generate notes and action items after support calls
- → Caption webinars and live streams with low latency
- → Analyze sales conversations for coaching and QA
- → Detect language and route calls to the right queue
Auphonic
- → Polish podcasts lectures and webinars to consistent loudness
- → Repair interviews recorded in noisy cafes or remote calls
- → Master audiobook chapters to spec before distribution
- → Automate weekly show finishing with watch folders
- → Generate chapters and notes to speed episode prep
- → Restore archival talks by removing hum buzz and hiss
Perfect For
Deepgram
developers contact center teams product managers data teams and startups building speech driven apps that demand low latency cost control and accuracy
Auphonic
Podcasters, educators, video producers, and audio teams who want automated polishing, loudness compliance, and scalable workflows without hiring a full time engineer
Capabilities
Deepgram
Real time APIs Professional
Batch Pipelines Professional
Compliance Options Enterprise
Models and Cost Intermediate
Auphonic
Standards and Leveling Professional
Noise and Reverb Professional
API and Watch Folders Professional
Chapters and Transcripts Intermediate
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