Residence Permit API

Residence Permit Data Extraction

A residence permit is the card or document that shows a person may live in a country for a stated period. HR, landlords, and immigration teams need the holder's name, the document number, the issuing country, and the expiry, often from a dim or folded photo. ByteIt reads scans and photographs into structured JSON. Examples include full name, document number, date of birth, issuing country, expiry date, and many more. The sample shows the permit record a compliance file can store.

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Use cases

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FAQs answered

Benefits

Eliminates manual data entry for foreign-national onboarding and right-to-work checks

Cuts processing time from minutes per document to seconds, enabling bulk verification

Reduces compliance risk by capturing expiry dates and document numbers accurately for audit trails

Works with the varied formats and languages found across EU and US residence permit documents

How it works

  1. Step 1

    Upload

    Send the document to the API as a file or a URL no special formatting required.

  2. Step 2

    The engine reads the document

    The engine analyzes the page layout and identifies the content that matters. The engine reads residence permit documents and extracts fields such as the holder's full name, date of birth, place of birth, gender, document number, issuing country, place and date of issue, expiry date, and the embedded photograph and signature.

  3. Step 3

    Structured JSON is returned

    Every extracted element comes back as structured JSON, positioned and typed, ready to feed into downstream systems.

  4. Step 4

    Confidence-based review

    Each field carries a confidence score, so low-confidence results can be routed for human review instead of trusted blindly.

Example fields

A sample of what extraction can return, and many more when they appear on the document.

Full NameExpiry DatePlace and Date of IssueIssuing CountryDate of BirthPlace of BirthGenderDocument NumberType of DocumentPicture and Signature

Features

AI-powered OCR that reads printed and handwritten fields from scanned, photographed, or digital residence permits

Structured JSON output with key data points including Full Name, Date of Birth, Place of Birth, Gender, Document Number, Expiry Date, and Issuing Country

Supports common image and document formats: PDF, JPG, PNG, and more

Handles multi-page documents, returning extracted fields from all pages in a single response

Use cases

HR Right-to-Work Verification

HR teams processing foreign-national hires can upload residence permits via API or a simple web upload. The extracted data, full name, document number, expiry date, can be cross-checked against employment records and flagged before expiry, reducing non-compliance risk.

Tenant Onboarding for Property Managers

Property managers and letting agents collect residence permits from international tenants. Automated extraction populates tenant records with the holder's name, nationality, and permit validity, accelerating the move-in process and ensuring files are audit-ready.

Immigration Case Management

Law firms and immigration consultants processing visa renewals or residency applications can batch-extract data from hundreds of permits. The structured output feeds directly into case management systems, reducing paralegal hours spent on data entry.

Border and Identity Verification Kiosks

Organisations building self-service kiosks or mobile onboarding apps can use the API to capture residence permit data in real time. The document number, photo, and issuing country are extracted and matched against internal databases for instant verification, with a human review step for high-stakes identity decisions.

Downstream System Integration

Extracted residence permit data can be connected into HRIS, CRM, or ERP platforms using workflow automation tools such as n8n, Zapier, or Make, enabling automated alerts for upcoming permit renewals or expiry dates.

LIVE DEMO

Try it yourself

Test the extraction engine with a sample residence permit or upload your own PDF, JPG, or PNG file to see structured data returned in seconds.

Sample document: FICTIONAL REPUBLIC OF ALDWYN

Select a document and press Parse

Want to run it on your own documents?

Ready to dive in? Request a key to get started.

Business advantages

Frequently asked questions

How do I integrate the residence permit extraction API?

ByteIt provides a REST API that returns structured JSON from any residence permit image or PDF. You can connect it to your application directly, or use workflow tools like Zapier, Make, or n8n to send documents and receive parsed data without writing code.

What file formats are supported?

The engine accepts PDF, JPG, JPEG, and PNG files. Both cropped images (document only) and uncropped images (document with background) are handled, and the API will automatically detect and isolate the document region if a background is present.

Does it work with low-quality scans or photos?

Yes. The AI model is trained on varied document quality, folded permits, photos taken under poor lighting, and faded text. It can extract the key fields from legible documents even when parts are blurred or partially obscured.

Can it read residence permits from different countries?

The engine handles residence permits from EU member states, the UK, the US, and many other countries. It reads the standard fields across common languages and layouts, full name, date of birth, document number, issuing country, and expiry date are captured reliably across formats.

How is pricing structured?

ByteIt offers usage-based pricing starting with a free tier that includes a number of credits. You can scale up with higher-volume plans as your document processing needs grow. Visit the pricing page or contact sales for current rates.

Does the extraction capture the holder's photo and signature from the permit?

Yes. The engine extracts both the picture (photo of the holder) and the signature from the document where they are present on the residence permit, making the output suitable for identity verification workflows.

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