MeetMic vs FrankenOCR

MeetMic (ex QuickWhisper) transcribes any audio or video into accurate text right on your iPhone. From meetings to voice memos and podcasts, MeetMic handles it all with blazing speed and high accuracy. Transcription * Lightning-fast processing: Get transcriptions in seconds. * Support of major media formats (mp3, mp4, mov, ogg, m4a, m4v, wav, caf, and more) * Transcribe from a microphone. * Record meetings in Zoom, Google Meet, Microsoft Teams, Webex, and others without bots joining your calls. * Support for 100+ languages with additional fine-tuned models Transcript management * Full-text search and filtering of transcripts. * Advanced editing of segments (edit, delete, trim, merge). * Segment timestamps editing for higher precision of subtitles. User-friendly * Built-in audio player with adjustable playback speed from 0.5 to 2.5x * Adjustable font size * Direct printing of transcripts Support 100+ languages * Supports all Whisper models. * Additional fine-tuned models for selected languages. * Select transcription language (or use Auto mode) Advanced Export * Export transcripts and recorded audio Subscriptions will automatically renew unless auto-renew is turned off at least 24 hours before the end of the current period and will be charged to your iTunes account. You can turn off auto-renew/manage subscriptions in your iTunes Account Settings after purchase. Terms of Use - https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

Extract text from an image or scanned PDF without uploading the document. FrankenOCR uses the same pure-Rust Unlimited-OCR engine as the FrankenOCR command-line project. Choose a photo, file, camera capture, tall scrolling screenshot, or scanned PDF. The app reads the input in memory and produces structured Markdown on the device. The flagship recognition path uses a downloaded, verified Baidu Unlimited-OCR model for careful document extraction. Tall screenshots are divided with overlap-aware smart cuts, while PDF pages are processed as a document and low-yield pages are called out instead of silently disappearing. Live Camera mode uses Apple's on-device Vision text recognition for speed. It is less accurate than the flagship FrankenOCR model, and the app labels that tradeoff clearly. Recognized words flow from their camera positions into the capture tray as the view updates. The current app ships one flagship model: Unlimited-OCR. It does not claim to include GOT-OCR2, SmolVLM2, OneChart, or a music-recognition model. Images, PDFs, camera frames, and recognized text stay on the device. Network access is used only to download the static flagship model files.