Identity Documents
Passports, ID CardsFields such as name, ID number, date of birth, and expiry date, supporting multiple national formats.
Automatically identify fields, verify data from passports, bills, bank statements, and financial documents, then integrate them into your existing systems. Eliminate repetitive data entry, allowing your team to focus on exceptions.
Select document type and compare before and after extraction.
Orange highlights: Fields to be extracted in this example
| Field | Extracted Content |
|---|---|
| Customer Name | Chen O. Ting |
| Account Number | •••• 8842 |
| Statement Date | 2026/08/31 |
| Bank Name | Example Bank |
Orange highlights: Fields to be extracted in this example
| Field | Extracted Content |
|---|---|
| Issue Date | 2026/08/15 |
| Item | Document Processing Service |
| Amount (Excl. Tax) | 10,000 TWD |
| Tax Amount | 500 TWD |
Orange highlights: Fields to be extracted in this example
| Field | Extracted Content |
|---|---|
| Name | CHEN, WEI-TING |
| Document Number | ••••• 1234 |
| Date of Birth | 1990/05/15 |
| Expiration Date | 2030/05/14 |
Set up corresponding fields for each document type, extract content semantically, and reduce manual organization efforts caused by varying layouts.
Fields such as name, ID number, date of birth, and expiry date, supporting multiple national formats.
Account name, service address, provider, and bill date, organized into data required for address verification.
Account holder name, account address, bank name, statement date, and account number.
Item, amount, tax amount, issue date, and buyer/seller information.
Customize fields to be extracted based on jurisdiction and document format.
CustomizableConnect classification, data entry, and verification to ensure organized data is ready for subsequent use.
First define the data needed, then AI semantically extracts text, tables, and form fields, outputting them in a fixed format.
Identify ID documents, bills, and financial documents, directing them to corresponding field settings and processing workflows.
Verify against existing data, flag inconsistencies or omissions, and set up manual review checkpoints as needed.
Retain processing trails and versions for each document, facilitating result tracking, issue lookup, and handover.
Field scope, matching rules, and review conditions are configured according to actual operational needs.
From upload to output, organize in four steps. Choose the appropriate integration method based on your existing system's conditions.
Submit PDF or image files to initiate the corresponding document processing workflow.
Extract text, table, and form data based on document type and field settings.
Verify against existing data and send anomalies and omissions to designated manual review checkpoints.
Download JSON/CSV, or send results to existing systems for further operations.
Send organized data via API/Webhook to connect with subsequent processes.
Evaluate batch import files or manual data entry via AI interface, choosing based on system conditions.
Currently, we process documents up to 10 pages at a time. For longer documents, the processing method will be evaluated based on actual needs during implementation.
DocParse extracts data based on document semantics and predefined fields. During implementation, we will confirm fields and recognition results with your actual document samples and set up necessary manual reviews.
Provide document types, monthly processing volume, required extraction fields, and current workflows. HEISO will assist in evaluating suitable implementation methods and providing a quote.