What it does
Three things. All in one upload.
Transcription
Upload a video or audio file. Receive back a clean text transcript of everything that was said — with speaker-aware formatting and punctuation. Useful for content repurposing, subtitles, meeting notes, and accessibility.
Translation to English
Got a video in Yoruba, French, Spanish, Arabic, or 96 other languages? Optimage can transcribe and translate simultaneously — you get English text output from any spoken language input.
Audio extraction
Sometimes you just need the audio from a video. Upload an MP4, MKV, or MOV and receive back an MP3. Useful for podcasters, journalists, and anyone pulling audio from recorded calls or sessions.
Use cases
Who it’s built for
Content creators
Generate captions, repurpose podcasts into blog posts, extract sound from video clips.
Journalists
Transcribe recorded interviews in minutes instead of hours. Get accurate quotes without re-listening.
Researchers
Transcribe qualitative interviews, focus groups, and lectures. Export clean text for analysis.
Educators
Create accessible transcripts for video lessons and course materials.
Business teams
Convert Zoom recordings into meeting notes without paying per-minute transcription fees.
Developers
Prototype voice features using a reliable transcription backend without building your own Whisper integration.
Why OpenAI Whisper?
Whisper is a large-scale speech recognition model trained on 680,000 hours of multilingual audio. It significantly outperforms legacy ASR tools on accented speech, overlapping speakers, and noisy environments. It’s the same model powering transcription features in major enterprise tools — accessed here at a fraction of the cost.
Word error rate competitive with the best human transcribers
Automatic language detection — no need to specify ahead of time
Handles strong accents better than conventional ASR models
Effective on low-quality audio and noisy recordings
Get notified when it launches.
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