Legacy APIs lacked word-level timing. Precise speech models now map words to frames, letting users trim video by editing text.
A collaborative video creation platform enables creators and small businesses to produce content ranging from Instagram ads to educational YouTube tutorials.
High-value users required professional text-based editing tools, but the platform's legacy API lacked accurate word-level timings and foreign...
“One of the things that we started to do to make our transcription editing more powerful was give people precise word timings. And that allows them to do things like trimming with the transcript and things like when you're actually trimming the video, you're tethering the subtitles to the video as opposed to a specific point in time.”
AI-powered video creation and editing platform for collaborative marketing teams.
AI models for speech-to-text transcription and audio intelligence.
Related implementations across industries and use cases
Flawed transcripts made automation unusable. Now, precise speech models let users splice video just by editing the text.
Adding transcription required six months and four engineers. Nylas launched in one day with a single developer, saving $300k.
85% of videos play silently. AI now accurately captions live and bulk content, securing engagement without sound.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.