Why people need this
Scanned documents are pictures of text, not text. You can see the name and the roll number, but you cannot select them, search them, or paste them anywhere. That turns a handful of common tasks into tedious retyping:
- Filling in forms. Copying a name, date of birth, address, or Aadhaar number into an application form — exactly as printed, because a mismatch gets flagged.
- Data entry at volume. Someone maintaining admission, HR, or scholarship records is transcribing dozens of mark sheets by hand.
- Verification and cross-checking. Comparing what a certificate says against what a database says, which is far easier once both are text.
- Building a searchable archive. Extracted text makes a folder of scans findable instead of something you page through one image at a time.
- Accessibility. A screen reader can read text; it cannot read a photograph of text.
Optical Character Recognition (OCR) does this reading for you. The question is where it does it.
The privacy problem with most free OCR sites
An Aadhaar card is about as sensitive as a document gets: name, date of birth, photograph, and a number linked to your bank accounts and tax records. A mark sheet carries your name, parents' names, roll number, and full academic record.
Most free OCR websites are server-side. Your scan is uploaded, processed on their infrastructure, and the text is sent back. That means a legible copy of your identity document exists on a machine you do not control, retained for a period you have not agreed to, readable by anyone with access.
File Genie's Image to Text tool runs OCR in your browser. The recognition engine is downloaded to your device and does the work there. Your scan is never transmitted anywhere — there is no upload request, so there is no copy on our servers, because we never receive one. We could not read your Aadhaar card if we wanted to.
A useful test for any tool that claims to be private: disconnect your network after the page has loaded. File Genie keeps working, because the processing was never happening somewhere else. A server-side converter stops dead.
Step by step: scan to text
1. Capture the document properly. OCR accuracy is decided here, not in the software. Lay the document flat in bright, even light. Shoot straight down rather than at an angle. Fill the frame with the document and crop out the surroundings. Avoid flash glare, and keep the text upright — sideways or upside-down text confuses recognition.
2. Open the tool. Go to Image to Text. No account, no email, no upload.
3. Add your image. Drag the scan or photo onto the drop area, or click to select it. Standard image formats such as JPG and PNG work. The tool handles one image at a time, so for a multi-page mark sheet, run each page separately.
4. Extract. Click Extract Text. OCR is genuinely computational work, so give it a moment — on a large scan the engine may take several seconds. It is using your device's processor, not a server farm's, which is precisely the trade-off that keeps the file private.
5. Read the result critically. The extracted text appears on the page. Check it before you rely on it. OCR is very good, not perfect, and the errors cluster in predictable places:
0andO,1andlandI,5andS,8andB- Long digit strings — Aadhaar numbers, roll numbers, PAN — where a single wrong character makes the whole field wrong
- Stylised headers, official seals, watermarks, and text printed over a hologram
- Handwritten entries, which OCR handles far less reliably than print
6. Copy it out. Copy the text to your clipboard and paste it wherever you need it.
Verify every number character by character against the original document before you submit it anywhere. An OCR slip in an Aadhaar number, PAN, or roll number is exactly the kind of error that gets an application rejected — and long digit strings are precisely where OCR is least reliable.
Getting better results from a difficult scan
If the output is poor, fix the input rather than trying again:
- Improve the lighting. Even, diffuse light beats bright, direct light, which creates glare and hard shadows.
- Crop tighter. Remove the desk, your fingers, and the page margins so the frame is mostly text.
- Straighten it. Even a slight rotation costs accuracy. Many phone gallery apps can deskew in one tap.
- Increase contrast on a faded photocopy before running OCR.
- Try a section at a time. On a cluttered certificate, cropping to just the block you need often reads far more cleanly than the whole page at once.
Working from a PDF instead
If the document is already a PDF rather than an image, use PDF to Text instead. It pulls out text directly and can fall back to OCR for pages that are really just scanned images. That, too, runs entirely in your browser.
How this compares with the big converters
Smallpdf and iLovePDF both offer OCR, and both offer far more PDF tooling than File Genie does. The difference is architectural: they process your document on their servers, and their free tiers apply limits. File Genie does less, locally, with no limits.
For personal identity documents, that trade is usually the right way round. We set out the specifics in our Smallpdf alternative comparison.
Extract your text now
Free, unlimited, no sign-up — and your document never leaves your device.
Related reading: converting an Aadhaar or PAN card photo to PDF.