OCR for AI training data — Content Factory
Models trained on raw OCR output learn its mistakes. Content Factory produces verified text from scanned sources in the languages our team reads natively, cleaned and structured as JSON or JSONL, so it can be used as training data or as ground truth for evaluating your own OCR.
The handover
Verified text
Every page checked by a native reader of the language against the original image before it leaves the studio.
Your format
Word, searchable PDF, Excel, plain text, JSON or XML, with file names and folders matching your originals.
Query log
Words that cannot be read with certainty are flagged, not guessed, so you know exactly where to look.
Confidentiality
NDA before files are sent. Your documents are deleted from our systems on request after delivery.
Published starting prices, per page
Every price below includes human verification by a native reader of the language. The final per-page figure is fixed in writing after your free ten-page sample, because print quality and handwriting change the effort. Volume above 10,000 pages is priced lower.
| Document type | India | International | Turnaround |
|---|---|---|---|
| Printed text — books, reports, clean scans | ₹25–40 per page | $0.30–0.50 | 1,000 pages in 5–7 working days |
| Tables, invoices, receipts to Excel | ₹40–80 per page | $0.50–1.00 | 1,000 pages in 7–10 working days |
| Old books, newspapers, faded scans | ₹50–90 per page | $0.60–1.10 | 1,000 pages in 10–12 working days |
| Handwriting and manuscripts | ₹80–150 per page | $1.00–1.80 | 500 pages in 10–15 working days |
| AI dataset cleaning and JSON structuring | +₹15–30 per page | +$0.20–0.40 | added to any tier above |
| Enterprise, 10,000+ pages | Volume rate | Volume rate | 10,000 pages in 3–4 weeks, delivered in tranches |
Often commissioned together
Datasets, not just text
Verified text
Every page checked by a native reader against the image.
Structure
Page, block, line and reading order in JSON or JSONL.
Ground truth
Line-level text aligned to page images for OCR evaluation.
Metadata
Source, language, script and document type for each record.
Where raw OCR hurts models
Script errors
Dropped marks and split characters in Indic and Arabic scripts.
Reading order
Mixed-direction and multi-column text in the wrong sequence.
Noise
Headers, page numbers and artefacts mixed into the text.
Documented rules
A written style sheet so every reader makes the same decisions.
Ten pages free, then a fixed price
1 · A free sample
Send ten representative pages. Content Factory runs them and returns the text with an accuracy note, so you judge the output before committing to volume.
2 · Scope and price
A per-page figure fixed in writing, based on what the sample showed: print quality, handwriting, tables, languages.
3 · Machine pass
Pages are cleaned, deskewed and run through recognition trained for the language and script.
4 · Human verification
A native reader of the language checks every page against the original image.
5 · Delivery
Word, searchable PDF, Excel, plain text, JSON or XML. Your files are deleted from our systems on request.
Only languages we can verify
Every page is checked by a native reader, so Content Factory takes OCR work only in languages our team reads natively. Others are added when a reader joins the team.
Tell us about the documents
Two minutes. You will have a per-page price and a delivery date within one working day, and instructions for sending ten free sample pages.
Frequently asked
Do you supply the source documents?
No. We process documents you have the right to use.
Which formats?
JSON, JSONL, plain text, ALTO XML or your own schema.
Which languages?
The 15 languages our team reads natively, listed on this page.
How is it priced?
The per-page tier for the source type, plus the AI dataset row in the table.
Tell us what you need made
Send the brief and we reply with a scope, a fixed price and a date — usually within one working day. Whole programmes are quoted the same way as single titles.
info@contentfactory.in · contentfactory14@gmail.com · Chennai, Tamil Nadu, India
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