TranscribeGo

TranscribeGo is Rather Labs' flagship audio intelligence product — a step beyond transcription. It converts audio to text with high accuracy across languages, then applies NLP to extract summaries, key concepts, and structured insights from the content.

The Challenge

Transcription alone doesn't create value — it creates a wall of text. Content creators, researchers, and business teams record hours of conversations, interviews, and meetings, then spend just as long manually reviewing them to extract what matters.

The gap between "audio file" and "actionable knowledge" was a workflow problem that raw transcription tools weren't solving.

Our Approach

TranscribeGo is built on the same audio AI foundation as TranscribeMe, extended with an intelligence layer on top of the transcript.

High-accuracy audio-to-text — Powered by state-of-the-art speech recognition models, TranscribeGo handles multiple languages, overlapping speakers, and varied audio quality with high accuracy.

Automatic summarization — After transcription, an NLP pipeline distills the full text into a concise summary — capturing the key points without requiring the user to read the complete transcript.

Concept extraction — The platform identifies and surfaces main topics, entities, and recurring themes from the content, giving users a structured overview of what was discussed rather than a chronological dump.

Structured insight output — Results are delivered in a format designed for action: summaries, key concepts, and full transcript together, so users can jump to the detail they need without scanning.

Outcomes

TranscribeGo reduced the time from recording to usable content for its target users — content creators, researchers, and business teams — by automating the manual review step entirely. Users go from audio file to structured knowledge in minutes.

Available at transcribego.com.

Technologies: Whisper · NLP models · Next.js · Node.js