Transcribe podcasts with our SDKs or API
The SDKs you want — Python, .net, node.js, — plus top-notch docs
Label speaker changes with diarization
Pre-recorded (batch) or live-streaming (real-time) transcription
Know what was said when with word timings
Quickly format transcripts with automatic punctuation and paragraphs
Accurate, usable transcripts for your podcasts.
Background noise? Multiple speakers? Crosstalk? No problem. Every podcast recording should be clean as a whistle. Get accurate podcast transcripts you can actually use with the formatting features you want like diarization, numerals, profanity filtering, capitalization, and punctuation.
So we built a podcast transcription API that could stand on its own
Big box speech-to-text (STT) providers like Google, Amazon, IBM and Microsoft have APIs… but accurate, usable podcast audio transcription isn’t the heart of their business. Easy-to-use APIs are what we do. With Deepgram, you’ll get speech-to-text that is simply faster, cheaper and easier to use whether you’re writing in Node, Python, .NET or JavaScript.
Captioning and Subtitles
Whether for accessibility, usability or compliance, our transcripts are easy to use and super accurate.
Media Monitoring
Real-time and batch processed way faster than the other guys complete with keywords and search.
Diarization
Who’s talking?! Deepgram makes diarization easy to call and easy to read.
Voice Analytics
Transcribe everything for analysis. We can process 1000 hours of audio in 30 minutes.
Pure Transcription!
If you are just looking for a readable transcript, that’s what Deepgram does best.
