Research and archives

Turn handwritten research collections into usable text

Convert lab notebooks, field notes, interview notes and unpublished manuscripts into text you can search, review and analyse. Test a representative sample yourself, or ask us to assess a defined funded collection and the output your project needs.

  • ✓ Transcribe handwriting from scans and multi-page PDFs
  • ✓ Export text, tables or agreed fields for your research workflow
  • ✓ Choose self-service or an assessed managed project

No card needed. Under 1% word error rate on everyday handwriting.

★★★★★ 4.5/5 on G2 · 50,000+ users worldwide
handwritingocr.com
Handwritten lab notebook entry
Handwritten ecology field notebook
Handwritten manuscript draft with revisions
Handwritten observation log
Complete

How it works

Start with evidence from your own collection

A representative sample is more useful than a general accuracy promise. Include common pages and the cases most likely to fail, then choose the route that fits the size, output and responsibility boundary of the project.

  1. Uploading representative research pages to Handwriting OCR 1

    Choose a representative sample

    Include ordinary pages plus poor scans, layout variants, different hands or languages, marginalia, tables and missing values where they occur. Split two-page spreads before testing.

  2. Reviewing a research document transcription against its source 2

    Test the required output

    Use transcription for reviewable text, table extraction for tabular data, or agreed custom fields where the source is consistent. Check names, dates, measurements, reading order and coverage against the original.

  3. Choosing self-service or managed delivery for a research collection 3

    Choose the delivery route

    For a smaller or customer-operated job, continue in the dashboard or API. For a funded collection needing preparation, agreed checks or structured delivery, request a managed assessment before the bulk run.

Research workflow

Evaluate the source, output and responsibility boundary

Results depend on the handwriting, scan and layout. Test what matters, then choose a route with clear output and review responsibilities.

Built for handwriting, not only print

Process connected cursive, dated entries, annotations and mixed printed and handwritten pages. Test the hands and layouts that matter before committing a collection.

Handwriting recognition applied to connected research notes

Outputs for research work

Export transcription as DOCX, TXT, PDF or JSON. Eligible table and custom-extractor workflows can return XLSX, CSV or JSON. Confirm the exact output and structure during a managed assessment.

Research transcription and structured-data output formats

Document controls you can evaluate

Documents auto-delete after the retention period set for the account, with seven days as the default. Confirm eligible account configuration before submitting material with contractual or procurement requirements.

Account-level document retention controls

A route for defined funded collections

A managed project can cover sample review, agreed processing and checks, exception handling and specified delivery. It does not imply that every character receives human verification.

A defined handwritten research collection prepared for assessment

Lab and field records

Test the difficult pages, not only the cleanest ones

Include different hands, dated entries, marginalia, poor scans, tables and layout changes in the sample. Check critical names, dates, measurements and reading order against the source.

  • ✓ Include ordinary pages and edge cases
  • ✓ Split two-page spreads before testing
  • ✓ Open the export in the workflow that will consume it
A handwritten laboratory notebook selected for representative testing

Archives and manuscripts

Define the job before a bulk run

A funded collection assessment should state who prepares files, the processing and checks included, the delivery format, the correction boundary and how exceptions or scope changes are handled.

  • ✓ Send approximate page count and representative samples
  • ✓ Specify languages, layout variation and desired output
  • ✓ Confirm timing, procurement and access constraints
Handwritten archival correspondence prepared as a defined collection

Pricing

Plans for every project

Pay-as-you-go credits or monthly subscriptions. Cancel any time.

Pay as You Go

No commitment

£15 $15 €15 / 100 pages

One-time purchase. Valid for 1 year.

  • AI-enhanced formatting
  • Export to Markdown (plain text)
  • Export to Microsoft Word
  • Two-factor authentication
  • API access
  • No commitment
  • Valid for 1 year
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Starter

250 pages / month

£19 $19 €19 £16 $16 €16 /month

Billed monthlyBilled annually

  • AI-enhanced formatting
  • Export to Markdown (plain text)
  • Export to Microsoft Word
  • Two-factor authentication
  • API access
  • Renews monthly, cancel any time
  • Additional pages: £6.00 $8.00 €6.50 £5.50 $6.00 €6.00 / 100 pages
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Pro

1,000 pages / month

£49 $59 €59 £41 $50 €50 /month

Billed monthlyBilled annually

  • Everything in Starter, plus:
  • Export tables to Microsoft Excel
  • Custom extractors
  • Additional pages: £5.00 $6.00 €5.00 £5.00 $5.00 €5.00 / 100 pages
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Business

10,000 pages / month

£399 $499 €490 £333 $416 €409 /month

Billed monthlyBilled annually

  • Everything in Pro, plus:
  • Up to 5 team members
  • Configurable audit logging
  • Additional pages: £4.00 $5.00 €4.50 £3.50 $4.00 €4.00 / 100 pages

Credits never expire while your subscription is active, and your documents are never used to train our models.

For higher volumes, dedicated instances, offline deployment, or any other custom requirements, see Handwriting OCR for Enterprise or contact us.

FAQ

Frequently asked questions

Any other questions? Get in touch and we'll answer right away.

How should I test handwriting OCR for a research collection?

Choose a representative set that includes common pages and difficult cases: different hands, poor scans, layout variants, tables, marginalia, mixed languages, blanks and missing values where present. Decide which facts and structures matter, compare the result with the original, and test the export in the tool that will consume it.

Can Handwriting OCR process a large funded research or archive collection?

Yes, subject to a sample and scope review. Your team can operate a large job through the dashboard or API, or request a managed project where preparation, processing, agreed checks, exception handling and delivery responsibilities are set before the bulk run.

What output can a research project receive?

Transcription can be exported as DOCX, TXT, PDF or JSON. Table and eligible custom-extractor workflows can return structured formats including XLSX, CSV or JSON. For a managed project, agree the fields, file grouping, ordering and correction boundary before processing.

What should I know about privacy for unpublished or restricted research?

Documents auto-delete after the retention period set for the account, with seven days as the default. If your project requires a DPA, EU-only processing and storage, specific access controls or another contractual arrangement, contact us before submitting restricted material so eligibility and configuration can be confirmed.

Representative samples first

Test the collection before you commit

Run representative pages yourself, or send a defined funded collection for an assessment of fit, output and delivery responsibility. For the managed route, request a project assessment from the contact page.

No card needed. Your documents are never used to train our models.

Illustration of a researcher converting handwritten manuscripts and notes into digital text

Self-service or managed

Choose the route that matches the research job

Use self-service when your team can prepare the files, run the documents and check the output. It is the fastest route for a notebook, a small archive or an ongoing workflow your team wants to operate. Test sample pages with free trial credits, then choose pay-as-you-go or a subscription if the result is useful.

Use a managed research or archive project when the collection is defined and funded, the output must follow an agreed structure, or your team wants to procure a delivered result rather than supervise a processing pipeline. Request a project assessment before transferring the full collection.

What to include in a project assessment

Send the approximate source-page count, representative sample files, languages and layout variation, desired output, current file readiness, target date and any privacy or procurement constraints. A useful sample includes ordinary pages and the difficult edge cases, not only the cleanest scans.

We first decide whether the standard product is sufficient. Where a managed route is appropriate, the scope should state who prepares the files, which processing and checks are included, the delivery format, correction boundary and how scope changes are handled. A suitability review is not a promise of perfect transcription or unlimited manual correction.

What to check before a bulk run

  • Page coverage and ordering: confirm every expected page and section is present.
  • Critical facts: compare names, dates, measurements, references and other decision-bearing fields with the source.
  • Layout and reading order: inspect marginalia, interlinear notes, tables and mixed-content pages.
  • Output fit: open the result in the software or analysis workflow that will consume it.
  • Exceptions: agree how blanks, illegible text, duplicates and out-of-scope pages should be represented.

For one disclosed archive example, read how a 10,000-page collection was tested and transcribed. Treat that as one project’s evidence, not a guarantee for another collection. For cursive-specific comparison evidence, see reading cursive to text. If you want the done-for-you route, review the managed handwriting transcription service.

Limits to plan around

Handwriting quality, scan condition, page layout and specialised notation affect results. Complex chemical structures, isolated formulae, marginalia and ambiguous reading order need close review. The service does not provide per-word confidence scores or bounding boxes, and it does not create an invisible searchable-text layer over the original PDF. Test the actual source and required output before fixing a bulk scope.