Nivra Scan: PDF & OCR

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Scan a page. Audit the OCR. Share a PDF you can actually search. Nivra is a local-first document verification workflow for iPhone. Apple’s document camera handles capture, cropping, rotation, and retakes. After you save, Nivra performs its own on-device text recognition, builds a searchable PDF, and checks whether the recognized words can be read back from that PDF’s text layer. AUDIT THE OUTPUT • See exactly how many pages contain recognized text • Review word, character, text-block, and confidence measurements page by page • Compare the OCR result with text extracted from the generated PDF • Search a phrase and see the matching page and line • Copy or share recognized text separately from the PDF • See verified, processing, needs-review, no-text, and failed states KEEP THE SOURCE • Re-run OCR without replacing the original page images • Recover interrupted imports when captured pages remain available • Keep the original image pages even if OCR or PDF verification fails • Continue working without a document cloud or Nivra account CAPTURE AND ORGANIZE • Scan one page or a full stack with Apple’s document camera • Combine up to 50 selected photos without requesting full-library access • Search titles and recognized text across the local library • Rename, preview, share, and permanently delete documents • Hide document previews while the app is inactive Scans, source pages, PDFs, titles, OCR text, and audit reports remain in Nivra’s protected app container unless you choose a system share destination. Nivra includes no advertising SDK, behavioral tracking, or required publisher cloud. The seven-day full-access trial begins after the first successful save and requires no payment method. Afterwards, the free plan remains available for up to five documents per calendar month with up to ten pages each. Nivra Pro removes those local limits with one non-consumable purchase—no subscription or automatic renewal. Automatic scanning and OCR can make mistakes. Confidence and PDF-match measurements are review signals, not guarantees. Check important text against the source page before relying on or sharing it.Read more

Scan a page. Audit the OCR. Share a PDF you can actually search. Nivra is a local-first document verification workflow for iPhone. Apple’s document camera handles capture, cropping, rotation, and retakes. After you save, Nivra performs its own on-device text recognition, builds a searchable PDF, and checks whether the recognized words can be read back from that PDF’s text layer. AUDIT THE OUTPUT • See exactly how many pages contain recognized text • Review word, character, text-block, and confidence measurements page by page • Compare the OCR result with text extracted from the generated PDF • Search a phrase and see the matching page and line • Copy or share recognized text separately from the PDF • See verified, processing, needs-review, no-text, and failed states KEEP THE SOURCE • Re-run OCR without replacing the original page images • Recover interrupted imports when captured pages remain available • Keep the original image pages even if OCR or PDF verification fails • Continue working without a document cloud or Nivra account CAPTURE AND ORGANIZE • Scan one page or a full stack with Apple’s document camera • Combine up to 50 selected photos without requesting full-library access • Search titles and recognized text across the local library • Rename, preview, share, and permanently delete documents • Hide document previews while the app is inactive Scans, source pages, PDFs, titles, OCR text, and audit reports remain in Nivra’s protected app container unless you choose a system share destination. Nivra includes no advertising SDK, behavioral tracking, or required publisher cloud. The seven-day full-access trial begins after the first successful save and requires no payment method. Afterwards, the free plan remains available for up to five documents per calendar month with up to ten pages each. Nivra Pro removes those local limits with one non-consumable purchase—no subscription or automatic renewal. Automatic scanning and OCR can make mistakes. Confidence and PDF-match measurements are review signals, not guarantees. Check important text against the source page before relying on or sharing it.