Monitor uploaded passport images, check OCR results, create standardized data, log the output, and notify recipients with the results.
The AI agent ingests passport images, extracts structured data via OCR, and standardizes fields. It validates accuracy, aggregates results, and generates a QR code payload. Results are displayed on the form completion page and delivered by email.
Key capabilities in a concise workflow.
Ingests passport images from the form
Extracts data fields via OCR
Cleans and standardizes extracted values
Validates data formats and completeness
Generates a QR code payload from the data
Displays results on the form page and emails recipients
This AI agent directly addresses common, costly data-entry challenges in identity document processing.
A simple 3-step flow anyone can follow.
Receive passport image(s) from the form, verify file type, and ensure image quality before OCR.
Convert images to base64, run OCR to extract fields, then clean and standardize values.
Create a QR payload, generate a QR code image, display results on the page, and email the recipient.
One realistic scenario.
A clerk uploads two passport images. The AI agent quickly extracts key fields (name, passport number, citizenship, date of birth, expiration date) for each image, standardizes the data, and generates two QR codes. The results are displayed on the form completion page and an email with the summary is sent to the recipient. The entire process completes in seconds to keep onboarding fast.
Roles that need fast, accurate passport data capture.
Requires accurate extraction and quick QR-based identity payloads.
Needs standardized, verifiable passport metadata before archiving.
Requires reliable OCR and QR workflow to plug into existing systems.
Must receive consistent data and auto-dispatch results.
Handles identity checks and needs quick data capture.
Analyzes intake metrics and needs automated summaries.
Key tools used inside the AI agent workflow.
Extracts structured passport fields from images.
Converts extracted data into a a scannable QR code payload.
Delivers results to recipients via email.
Validates file type and image quality before OCR.
Cleans and standardizes extracted fields for QR payloads.
Common document workflows that benefit from automated passport data capture.
Practical answers to common setup and operation questions.
Best results come from clear, high-resolution images of the passport data page. Use front-facing scans or photos with even lighting and minimal glare. Ensure all data fields are visible and not obscured by folds or reflections. The AI agent validates image quality before OCR to reduce errors. If an image fails, you’ll be prompted to replace it.
OCR accuracy varies with image quality and document conditions. The AI agent extracts data and then cleans and validates fields to improve reliability. If ambiguity is detected, fields are flagged for review and can be corrected manually. Regular improvements to prompts and prompts settings can further improve accuracy.
OpenAI OCR supports multiple languages; you can configure language hints to improve recognition. For passports with non-Latin scripts, results may vary and may require manual review. The agent flags low-confidence extractions for remediation. If needed, provide higher-quality images to improve results.
Data is transmitted over secure channels and stored only as needed for the workflow. Access controls restrict who can view raw images and extracted fields. OCR results and QR payloads are stored with limited retention, and emails are sent to verified recipients. You can enable additional encryption and data retention policies to meet compliance.
Yes. The QR payload can be structured to fit your system requirements. You can adjust the payload fields, encoding, and metadata included in the QR code. The agent regenerates QR codes when data changes and avoids duplicates. If you need a specific schema, provide the mapping in the configuration.
The AI agent accepts common image formats such as JPEG, PNG, and TIFF. Uploaded files must be image types and within size limits defined in the form. For best OCR, use uncompressed or lightly compressed images with minimal noise. If a file is not an image or is too large, the system rejects it and prompts for a valid file.
Begin by testing with 1–3 clear passport images to validate OCR and QR generation. Connect your OCR API credentials and email service (e.g., Gmail) in the setup steps. Verify that results display on the form completion page and that emails arrive correctly. After successful testing, deploy to production and monitor for any parsing errors or edge cases.
Monitor uploaded passport images, check OCR results, create standardized data, log the output, and notify recipients with the results.
