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JPG, PNG, TIFF, WebP, GIF, BMP, SVG, PDF
Max 50 MB
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Need to handle this at scale?
Batch-process boxes of forms, run extraction locally for sensitive paperwork, or wire the API straight into your capture app.
Everything you need to pull labeled fields off a photographed or scanned JPG document — and ship the data wherever it needs to land.
Made for the JPG and JPEG files your phone camera, document scanner, and copier actually produce — IDs, claim forms, intake sheets, application paperwork. PNG, TIFF, WebP, GIF, BMP, SVG, and PDF run through the same pipeline.
The AI doesn't just read text — it reads the label printed on the form ("Date of Birth", "Patient ID", "Annual Income") and pairs it with the value sitting next to or below it, exactly how a human would.
Working through a stack of the same form — insurance claims, visa applications, clinic intake sheets? Define the exact field list once, save it as a template, and reuse it for every JPG that follows.
Moderate skew, mixed indoor lighting, paper texture, slight glare on a glossy ID — the extractor reads through the messy realities of phone-camera document photos, not just clean studio scans.
Caught a misread digit on a passport number? Need to fix a name's spelling, add a missing date field, or drop a blank row? Edit the result table in place — no re-running the extraction.
Drop the data into JSON for an API, CSV (horizontal or vertical) for a spreadsheet, Excel (horizontal or vertical .xlsx) for accounting, or XML for legacy systems — pick the format your destination expects.
From a photo or scan of a paper document to clean, exportable key-value data in three steps. No technical setup required.
Take a phone photo of the document, or pull the JPG straight from your flatbed scanner — then drop it onto the upload area. The preview pane confirms the right page is queued before anything runs.
Hit Auto and the AI pairs every printed label with its value automatically. Or switch to Manual, list the exact fields you need (Passport No., Issue Date, Expiry Date), and lock the output to that schema. Complete the quick human check to start.
Spot-check the extracted values against the original photo in the editable result table, fix anything the AI got wrong, and download to JSON, CSV (horizontal or vertical), Excel (horizontal or vertical), or XML.
From IDs and medical paperwork to loan, visa, and intake forms — see how teams turn JPG photos and scans of labeled documents into clean structured data.
Pull document number, full name, date of birth, expiry date, address, and MRZ lines from JPG photos and scans of passports, national IDs, driver's licenses, and residence permits.
Capture patient name, prescription date, medication, dosage, and frequency from prescription slips — or test name, result value, units, and reference range from lab report JPGs.
Extract claim number, member ID, provider, dates of service, procedure codes, billed amount, allowed amount, and copay from photographed claim forms and Explanation of Benefits.
Lift applicant name, Social Security or tax ID, employer, annual income, loan amount, property address, and co-borrower fields from JPG copies of loan and mortgage application forms.
Pull surname, given names, nationality, passport number, date of issue, purpose of visit, intended length of stay, and sponsor info from filled-in visa and embassy application JPGs.
Convert candidate or student name, contact details, prior employment or education history, references, and signature blocks from photographed application packets into structured records.
Capture taxpayer ID, filing status, income lines, withholding totals, deductions, and signature date from JPG scans of tax forms and other government-issued records.
Pull patient or customer demographics, emergency contact, allergy lists, insurance details, consent checkboxes, and signature date from clinic, salon, and service-business intake forms.
Got questions? We've got answers.
It shines on JPG photos and scans of paper documents with labeled fields — passports and other government-issued IDs, prescriptions and lab reports, health insurance claim forms, loan, mortgage, visa, and job applications, tax forms, and clinic intake or consent sheets. Anything with a printed label and a value next to it is fair game.
Both work. Flatbed scans give the most consistent results because the document sits flat, square, and is evenly lit. Phone photos work too — keep the document framed in the viewfinder, shoot from directly above, and avoid hard shadows. Modern phone cameras are usually high-resolution enough for clean extraction.
Yes, within reason. Moderate skew, soft shadow, and small glare patches are tolerated. Heavy glare across a critical field — like a hologram smear over a passport's date of birth — can hide the value. If a re-shoot is easy, diffuse the light (turn off direct flash, use natural daylight) and flatten the document before snapping again.
Yes. JPGs from phones often carry EXIF orientation metadata so the preview displays correctly. The extractor reads the document at the right orientation regardless of how the raw pixels are stored, so sideways or rotated phone photos extract just like upright ones.
Yes. JPG and JPEG are two extensions for the same JPEG image format — the only difference is the filename. Both are accepted as the primary input and processed identically.
PNG, TIFF, WebP, GIF, BMP, SVG, and PDF. If your scanner exports TIFF, your colleague sent a PDF, or your phone produced a HEIC-converted PNG, you can drop it in the same workflow without switching tools.
Yes — fully free for the core extraction features. No trial period, no credit card, no premium tier locked behind a paywall. Upload your JPG, extract, and export to JSON, CSV, Excel, or XML at no cost.
No. There's no account to create, no software to download, and no browser extension to install. Open the page, drop your JPG in, and go.
Use Auto when you're exploring a one-off document and want every label-value pair the AI can find. Use Manual when you're processing many copies of the same form — passport batches, intake sheets, claim forms — and need the exact same field names in every result. Manual locks the output schema so downstream systems get predictable columns every time.
Yes. In Manual mode, define your field names (and optional descriptions for accuracy), then download the template as JSON or CSV. Re-upload it for every future JPG of the same form — every batch of visa applications, every set of patient intake sheets — and the extraction produces a uniform schema.
Yes. The result is shown in an editable table — fix a misread digit, correct a name, type in a value the AI missed, add a new field, or delete a row you don't need. Edits are applied before the file is generated, so the exported JSON, CSV, Excel, or XML reflects exactly what you confirmed.
JSON for APIs, scripts, and structured pipelines; CSV in horizontal layout (one row per document) for spreadsheet roll-ups, or vertical layout (key/value per row) for long-form reports; Excel in horizontal or vertical .xlsx for analysts who live in spreadsheets; XML for legacy systems and document-management tools. Pick whichever your destination expects.
Max upload is 50 MB per file. That's plenty of room for typical phone-camera JPGs of single-page documents. If the photo is much larger, lowering camera resolution to around 8–12 MP, or saving at high JPEG quality (not maximum), usually shrinks the file enough without hurting extraction accuracy.
It can. JPEG is a lossy format — at very low quality settings, small text and thin strokes blur into compression artifacts, and digits like 3/8 or 0/6 start to look alike. For best results, save your JPGs at high (not lowest) quality, especially for documents with small printed fields like IDs or lab reports.
Printed and typed text gives the best accuracy. Clearly written, legible handwriting in form fields often works — block letters, dates, and signatures with printed names underneath are usually readable. Cursive, messy writing, or pencil on textured paper can drop accuracy; expect to spot-check those in the editable result table.
The web tool processes one JPG at a time, so each page is a separate run — upload page one, extract, export; then page two, and so on. If you'd rather hand over a folder of JPGs and get a merged result, contact us about batch processing.
Yes. Files are processed for the extraction request and not stored, retained, or shared afterward. For organizations with compliance constraints — healthcare, financial services, government — contact us about local or on-premises deployment so JPGs never leave your infrastructure.
The public web tool is one-JPG-at-a-time. For batch runs (hundreds of forms in one go), API access for embedding into KYC or claim-intake flows, CAPTCHA-free runs, multi-page or local pipelines, get in touch — we'll set up the right plan for the volume.
Processing one JPG document at a time is fine for a few forms. Move to bulk runs, local pipelines, or API-backed extraction when the paperwork stacks up.
Run JPG extraction on your own hardware so IDs, medical records, and financial paperwork never leave your network — built for healthcare, finance, and government compliance needs.
Contact UsA box of intake sheets, a folder of ID photos, a batch of insurance claim forms — process the whole stack in a single run instead of uploading one JPG at a time.
Contact UsPlug JPG extraction directly into your product — KYC onboarding, claim intake, application review, patient registration — with API access and the CAPTCHA stripped out.
Get in TouchHave a different use case? Tell us about it →