Benefits
Speed up KYC onboarding by reducing manual data entry on proof of address documents to seconds per submission.
Cut compliance risk with automated extraction that captures address details, holder name, and document dates for audit trails.
Support global document formats: the engine handles utility bills, bank statements, lease agreements, tax documents, and government letters from US and European issuers.
Eliminate data entry errors from handwritten or scanned address fields, reducing false rejects and manual review overhead.
How it works
- Step 1
Upload
Send the document to the API as a file or a URL no special formatting required.
- Step 2
The engine reads the document
The engine analyzes the page layout and identifies the content that matters. The engine reads the entire proof-of-residence document, including utility bills, bank statements, lease agreements, and tax notices, and extracts structured fields such as holder name, full address components, issuer details, and date fields from any layout or language.
- Step 3
Structured JSON is returned
Every extracted element comes back as structured JSON, positioned and typed, ready to feed into downstream systems.
- 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.
Extractable fields
Features
Extracts full name, street address, postal code, city, state or province, date of birth, document start date, issuer name and address, and date signed.
Works with colour scans, black-and-white faxes, phone photos, and multi-page PDFs of any proof-of-residence document type.
Connects extracted data into downstream compliance workflows using no-code automation tools like n8n, Zapier, or Make.
Supports multi-page documents, reads all pages in a single API call and consolidates extracted fields.
Use cases
KYC Customer Onboarding
Verify a new customer's residential address by extracting their full name and address from a submitted utility bill or bank statement, then cross-checking the data against their application form, all within seconds.
Anti-Fraud Address Verification
Automatically detect mismatches between the address on a proof-of-residence document and the address provided by the user, flagging suspicious submissions for manual review without slowing down legitimate onboarding.
Audit-Ready Compliance Records
Capture and store the full set of extracted fields, holder name, address components, issuer name, and document date, from every proof-of-residence document submitted, building a complete, timestamped audit trail for CDD and regulatory reviews.
Automated Lease and Rental Verification
Extract tenant name, address, and lease start date from a rental agreement or lease document, then push the structured data into a property management system via workflow automation tools, removing manual data entry for property teams.
Utility Bill Processing for Financial Services
Process incoming utility bills as proof of address for loan applications or account openings: extract the customer name, service address, and bill date, then route the structured data into the loan origination system for automatic validation.
LIVE DEMO
Try proof of residence extraction live
Upload a sample utility bill, bank statement, or lease agreement in PDF, JPG, or PNG format and see the extracted fields instantly.
Select a document and press Parse
Want to run it on your own documents?
Ready to automate address verification? Get your API key in Studio.Business advantages
- Pay only for pages processed, no monthly minimums or hidden fees.
- API-first design integrates into any stack with a single REST endpoint.
- SOC 2 compliant infrastructure built for regulated industries.
- 20 free credits to test real documents before committing.
Frequently asked questions
What file formats are supported for proof of residence documents?
ByteIt accepts PDF, JPG, and PNG files. The engine handles colour scans, phone photos, and black-and-white faxed copies equally well.
How accurate is the extraction on low-quality scans or photos?
The AI engine is trained on a wide range of image qualities, including skewed, low-resolution, or poorly lit scans. It recovers text from challenging inputs far more reliably than traditional OCR libraries.
Can I integrate ByteIt with my existing compliance workflow?
Yes. The API returns structured JSON that you can pipe into any downstream system. You can also connect ByteIt to no-code automation tools like n8n, Zapier, or Make to trigger verification flows.
What languages does the proof of residence extraction support?
The model handles documents in English, French, German, Spanish, Italian, Dutch, and Portuguese, among others. If your document language is not listed, contact us and we will check support.
How do I get started with the API?
Sign up on byteit.ai to receive 20 free credits. After testing, choose a plan based on your monthly page volume, there are no minimum commitments.
Does the engine handle multi-page documents like multi-page bank statements?
Yes. Upload a multi-page PDF in a single API call. ByteIt reads all pages and consolidates the extracted fields into one structured response.
When should I use proof of residence extraction instead of generic OCR?
Generic OCR outputs raw text, you still have to parse and structure it. ByteIt's extraction returns known, labelled fields (full name, address, issuer, date) so you can feed them directly into your KYC or compliance system without post-processing.
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