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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
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Memo.ac
✓ verifiedFreemium
Cross-platform desktop app that transcribes and translates audio/video into text, subtitles and notes, running locally on GPU.
2.3K saves
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Scribewave AI
✓ verifiedPaid
GDPR-compliant AI speech-to-text tool for fast multilingual transcription, subtitling, and translation.
34K visits/mo
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DeVoice
✓ verifiedFreemium
AI transcription platform that turns audio, video and YouTube links into text and subtitles, with speaker labels and 100+ languages.
319K visits/mo
Pricing
Memo Basic: Free
Memo Pro: $25.99/year
Memo Believer: $49.99/lifetime
No public pricing
No public pricing
Core features
- ✦Audio/video to text transcription
- ✦Translation across 90+ languages
- ✦Speaker diarization
- ✦Local, offline GPU-accelerated processing
- ✦Subtitle, Markdown and Notion export
- ✦AI summaries (bring your own key)
- ✦AI transcription supporting 90+ languages
- ✦Word-audio synced editing interface
- ✦Automatic subtitle generation with SRT/VTT export
- ✦Translation of transcripts
- ✦AI assistant for summaries, chapterization, and Q&A with timecodes
- ✦GDPR-compliant, confidential file handling
- ✦Audio and video to text transcription
- ✦SRT subtitles and speaker labels
- ✦YouTube link transcription
- ✦Support for 100+ languages
- ✦Background noise removal
- ✦AI voice generator and text-to-speech
Use cases
- →Transcribing meetings and interviews
- →Subtitling and translating videos
- →Turning podcasts into text notes
- →Private, on-device transcription
- →Journalists transcribing interviews quickly and accurately
- →Researchers processing qualitative interview recordings
- →Content creators generating subtitles for video
- →Language educators creating study materials from audio
- →Transcribing meetings and interviews
- →Repurposing podcasts and videos
- →Generating subtitles and accessible transcripts
- →Cleaning noisy audio before transcription
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