Convert Handwriting to Text
Notes, cursive & whole handwritten archives

Yes. Create a free account and your first 20 pages are free, no credit card required. Drop a photo, scan, or PDF of the handwriting into the converter above and the transcribed text is ready in seconds.

Yes. Phone photos, scans, and PDFs all work. For the best results, photograph the page flat in good light so the writing is sharp. The AI handles skew, shadows, and uneven lines, but a legible original always transcribes better.

Yes. Parsli uses AI handwritten text recognition rather than template OCR, so it reads cursive, connected letters, mixed print-and-script, and messy notes. Accuracy is 95%+ on most modern handwriting; for faded or historical scripts it depends on legibility.

Handwritten text recognition (HTR) software converts images of handwriting — scans, photos, or PDFs — into machine-readable, searchable text. Unlike traditional OCR built for printed text, HTR uses AI to interpret cursive, connected letters, and historical scripts. Parsli is an AI HTR platform that also extracts structured fields (names, dates, places) so collections become searchable databases, not just transcripts.

Parsli achieves 95%+ accuracy on most cursive and modern handwriting using context-aware AI. For historical documents — old letters, faded ink, parish registers, and archaic hands — accuracy depends on legibility, but the AI routinely transcribes material that template-based OCR and generic tools cannot. You can test it free on your own scans before committing.

Yes — that's the core use case. Parsli supports bulk and batch processing of thousands of pages, reusable extraction schemas, and a REST API, so libraries and archives can work through large backlogs and publish searchable digital collections. Pay-per-page pricing scales with your collection rather than locking you into per-seat licenses.

No. Parsli uses a pre-trained AI model, so it works out-of-the-box on cursive, print, and mixed handwriting without ground-truth training data or fine-tuning. For specialized collections you can define extraction schemas (which fields to pull), but you never have to train a recognition model yourself.

Parsli accepts JPG, PNG, TIFF, BMP, WebP, and PDF (including multi-page documents and phone photos). It auto-detects 100+ languages, including many historical and non-Latin scripts, with no manual language selection required.

Both. Every page returns a clean transcript, and if you define a schema you also get structured fields (names, dates, places, amounts, relationships) as JSON or CSV. You can export searchable PDFs and Word documents, or stream results to Google Sheets, Zapier, Make, webhooks, or your own systems via the API.

Your files are uploaded over an encrypted connection and processed securely. We don't sell your data, and you can delete any document, or your whole account, at any time, which makes Parsli suitable for personal papers and institutional records alike.

Yes — getting started is free. Create an account and your first 20 pages are on us, no credit card required. After that, monthly plans start at $25 for 100 pages, so costs scale with the size of your project rather than per user.

Both are handwriting recognition platforms, but Parsli is designed for faster time-to-value: no model training required, structured field extraction built in, and transparent per-page pricing without per-seat licensing. Parsli also doubles as a full document-parsing platform (integrations, webhooks, API), so handwritten records can flow straight into spreadsheets, databases, and downstream workflows.

Yes. Parsli provides a REST API, webhooks, and integrations with Zapier, Make, and Google Sheets, so you can embed handwritten text recognition into digitization pipelines, research tools, or public-facing collection portals.