Recognize
Upload manuscript scans, field notes, letters, registers, or PDFs and return editable text with page-level context.
ManuLens turns handwritten scans into structured, reviewable text while preserving pages, line breaks, confidence, and export metadata.
OCR
text extraction
Review
confidence queue
JSON
structured export
Review workbench
Original scan, transcript, and flags in one pass.
Dear Margaret,
the ledger from April is enclosed
with the notes from the eastern shelf.
Several entries require review before
the final catalogue is copied.
Layout
5 lines detected
Export ready
TXT · JSON
Live OCR preview
Upload handling, OCR processing, review output, rate limiting, and export-ready state are wired for the MVP. Paid access stays disabled until Creem approval.
OCR console
Recognition output
awaiting fileDear Margaret,
the ledger from April is enclosed...
Run OCR to replace this sample transcript.
Product
The MVP is intentionally focused: recognize the handwriting, review uncertain passages, and export clean text. Payments are not open yet; early access is managed through the waitlist.
Upload manuscript scans, field notes, letters, registers, or PDFs and return editable text with page-level context.
Keep the original scan, transcript, confidence, and flagged passages together so uncertain words stay visible.
Move clean text, metadata, and review status into downstream research tools, datasets, or archive workflows.
Workflow
ManuLens is organized around OCR jobs, not one-off prompts. That keeps moderation, review, export, billing, and entitlement boundaries ready for production.
{
"job_id": "job_8f32ad19",
"pages": 1,
"status": "needs_review",
"blocks": [
{
"type": "paragraph",
"text": "Dear Margaret...",
"confidence": 0.87,
"review_required": true
}
]
}Payments are not open yet. The waitlist is free, and we will invite early users as capacity grows.