Introducing Temi: Fast, Affordable Speech-to-Text for Audio and Video
Temi is a low-cost speech recognition service that converts audio and video files into text quickly — a practical base layer for captions and editing.
Introducing Temi: Fast, Affordable Speech-to-Text for Audio and Video
Captions start with a solid transcript. Temi is a speech recognition service built to convert audio and video files into text quickly and affordably — “transcripts at lightning speed” for everyday media files.
Temi sits in the caption / transcript base layer for creators who need readable text from recorded speech before styling captions, cleaning silence, or cutting short-form clips.
What Temi does
Speech-to-text for everyday creator and business media:
- Fast automated transcription of audio and video uploads
- Affordable ASR positioned as a low-cost path to unlock spoken content as text
- User-friendly tools around speech recognition for everyday files
- API access for product and workflow integrations
- Help/support channels including help@temi.com for account and product questions
Explore:
Who it is for
Creators, podcasters, marketers, and teams who need a fast transcript as the starting point for captions, show notes, or searchable archives — without jumping straight to premium human transcription for every draft.
Where it fits in a content stack
Temi owns speech → text. Caption stylers, editors, and packaging tools sit downstream; Temi is the transcription step that feeds them.
Why it matters now
Most short-form and educational video still ships muted or half-watched without captions. Cheap, fast transcripts remain the bottleneck before caption styling and clip packaging can start.
How creators typically use Temi
Upload a talking-head or podcast file, download the transcript, then paste or import into a caption/editor tool. Product teams call the Temi API to keep transcription inside their own workflow.
Quick tips if you try Temi
- Use clean source audio — ASR quality tracks mic and noise more than marketing copy.
- Proof names and jargon before publishing captions publicly.
- Treat Temi as draft text — polish for on-screen timing separately.
- Check the API if you need batch transcription in a product pipeline.
- Escalate to human transcription (e.g. via Rev, linked from Temi) when you need ~99% accuracy for legal/compliance use.
Soft close — related tool
If you also need concept → storyboard → animated or whiteboard explainer / Reels (not talking-avatar presenters), see Scro Explainer. Scro (by NOVAX) is built around approving an AI storyboard before you render — useful when the job is teaching a process, not finishing filmed footage or running growth ops. Keep Temi as the focus of this intro; Scro is only a related option for storyboard-first explainers.