Caption, summarize, and analyze podcasts and videos affordably and efficiently with the industry’s best speech-to-text and language understanding APIs.
Studies show that captions significantly increase video engagement. Poor transcription accuracy impedes accessibility and adds friction to content distribution. Our Language AI platform combines natural language understanding (NLU) models and the industry’s best speech-to-text API, trained on extensive real-world multimedia content including podcasts and streaming video, to meet all your transcription needs.
Rich content captioning
Whether for accessibility, usability or compliance, our transcripts are easy to read and super accurate.
SEO and audience expansion
Adding transcripts enables search engines to crawl and index your content, expand your audience, and increase engagement.
Content moderation
Quickly flag sensitive content like profanity and hate speech to ensure audience and brand safety.
Searchability and user experience
Create rich summaries and searchable transcripts that enable your audience to quickly jump to precise moments in specific podcasts and videos of interest.
Streamline workflows
Automate subtitling tasks with the most accurate transcripts in the market that include speaker labels and smart formatting for free.
Content analytics
Use Language AI to analyze sentiment and topics of your programming and see how it correlates with audience engagement.
With Deepgram’s accurate and fast speech-to-text solution, we’re the Google Analytics of podcasts.
Matthew Drengler
Director of Partnerships, Podsights at Spotify
What could you do with 90%+ accuracy and real-time 300-milliseconds transcription speed at a fraction of the cost of legacy ASR solutions?
