Registration certificates, old ISO documents, and mobile-phone scans of PAN or GST proofs often arrive as image-only PDFs — readable to the human eye but invisible to search, copy, or portal text extraction. Evaluators struggle to verify details, and you cannot quote certificate numbers without retyping. With Pitara Tools you can run ocr pdf online free in your browser: Tesseract OCR reads each page locally, extracts copyable text, and produces a text-layer PDF output. No account, no server upload, and sensitive registration data stays on your device.
Why OCR PDFs free in the browser?
Government tender portals and evaluation committees increasingly expect readable PDFs, not raw photograph stacks. A scanned MSME certificate may look fine when printed, but if evaluators cannot search for your registration number or copy text into their evaluation sheet, clarifications slow down your bid. Pitara's OCR PDF tool runs Tesseract.js entirely in your browser tab. Your Udyam registration, experience letters, and OEM authorisation scans never pass through a third-party OCR API or cloud storage bucket.
Desktop OCR software is expensive and tied to one machine. Free online OCR services often retain uploaded documents for processing or training. For contractors submitting confidential technical data alongside registration scans, local OCR is the safer workflow — close the tab and no copy remains on external infrastructure.
The tool suits tender preparation pipelines: scan certificates with your phone, convert JPGs to PDF with JPG to PDF, run OCR, then merge into the technical bid. Searchable text helps you verify that dates, registration numbers, and company names OCR correctly before evaluators see the file.
Step-by-step: ocr pdf online free
- Open the OCR PDF page on Pitara Tools.
- Upload the scanned or image-based PDF — certificate bundle, signed declaration scan, or annexure photographed on a desk.
- Click Run OCR and wait while each page is processed. Multi-page documents take longer; keep the tab open until completion.
- Review extracted text in the output panel. Copy certificate numbers or dates for your bid cover sheet and cross-check against the visual scan.
- Download the OCR PDF with an embedded text layer, or copy plain text for pasting into forms and spreadsheets.
- If text quality is poor, rescan at higher resolution (300 DPI recommended) and run OCR again on the clearer source.
OCR works best on straight, well-lit scans. Rotate sideways pages with Rotate PDF before OCR so Tesseract reads horizontal lines correctly.
Tips for eProcure, GeM, and tender use cases
- MSME and Udyam certificates: Make registration numbers searchable so evaluators can confirm validity without manual retyping from blurry phone photos.
- ISO and quality certifications: Old scanned ISO certificates often lack text layers. OCR preserves the visual scan while adding readable scope and expiry dates.
- Experience letters: Past project completion certificates from government departments are frequently image-only. OCR helps you quote project values accurately in the technical compliance matrix.
- GeM catalogue proofs: OEM authorisation letters attached as scans become easier for buyers to verify when text is selectable.
- English documents: This version uses English OCR. Hindi-only certificates may not convert accurately — keep the visual scan and supply translations where the notice requires.
- After OCR: Merge readable annexures with Merge PDF, add page numbers, and compress if the portal enforces size limits.
Handwritten signatures and stamps are visual elements — OCR will not reliably read them. Focus OCR on typed certificate body text. For annotations on standard forms, use PDF Editor instead.
Improving OCR accuracy
Scan at 300 DPI where possible. Phone photos should be flat, well lit, and free of shadow across the certificate text. Crop excess margins before converting images to PDF — larger text relative to page size improves recognition. If a page mixes diagrams and text, expect partial extraction; evaluators still have the original image underneath the text layer.
Always manually verify registration numbers, dates, and monetary values after OCR. Automated recognition can misread similar characters — 0 versus O, 1 versus l — with consequences in compliance checking. Treat OCR output as a draft for search and copy, not an authoritative transcription.
Searchable annexures also help your own bid team during internal review. When six certificates are merged into one PDF, Ctrl+F for a registration number confirms the right document is in the pack before you click submit on eProcure or GeM.
Related tools
Build readable tender annexures: convert photos with JPG to PDF, run OCR PDF, merge with Merge PDF, and Compress PDF for portal limits — all free on Pitara Tools.
Frequently asked questions
Does OCR work on Hindi text? This version uses English OCR. Hindi and mixed-language support may be added later.
How accurate is it? Clear scans at 300 DPI work best. Handwritten text may not OCR well.
Is my document sent to a server? No. OCR runs locally via Tesseract.js in your browser.
Can I use the output on eProcure and GeM? Yes. The OCR PDF keeps the original scan visible with a searchable text layer — standard format for most portal uploads.