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INE ID Reader: Automated OCR That Extracts and Validates Data in Seconds

An INE ID reader powered by artificial intelligence automatically extracts the data printed on a Mexican voter ID card —name, CURP, voter key, address, expiration— in a matter of seconds, with no manual typing and no data-entry errors. At AISDC we build this INE ID reader into your client onboarding, access control, or KYC verification flows: it processes both sides of the card, reads the PDF417 barcode and the machine-readable zone (MRZ) on the back, matches the photo printed on the card against a live selfie to confirm the person in front of the camera is the actual cardholder, and delivers structured data straight into your system while respecting the privacy of personal information.

How we work

1. Capture the ID card

The user photographs or scans the front and back of their INE card through your app, your website, or a fixed capture point. We accept photos taken with a regular phone camera — no specialized scanner required.

2. OCR reading and document validation

The system detects the card model, extracts every field through OCR, reads the PDF417 barcode and the back-side MRZ (on models that include it), and checks that the layout and expiration date are consistent.

3. Facial match against a live selfie

Optionally, we compare the photo printed on the card against a live selfie captured from the user, using facial recognition to confirm it is the same person before the process continues.

4. Data delivery and integration

Structured data and the validation result are sent via API to your CRM, your access control system, or your onboarding platform, ready to use without any additional manual entry.

What it includes

Front and back OCR

Extracts name, address, voter key, CURP, date of birth, precinct section, expiration date, and every other field visible on both sides of the card, so your team never has to type them by hand.

Barcode and MRZ reading

Decodes the PDF417 barcode and the back-side machine-readable zone on card models that include it, providing a backup and cross-check against the data captured through OCR.

Format and expiration validation

Checks that the card layout matches a real model issued by the INE or its predecessor the IFE, and flags whether the document is expired or the captured information is incomplete.

Facial match with liveness check

Compares the face on the printed ID photo against a live selfie, with a liveness check confirming the selfie comes from a real person present at the moment, not a photo of a photo.

Low-quality image detection

Flags blurry, glare-affected, cropped, or incomplete photos before processing them, prompting the user to retake the picture on the spot instead of letting the error reach your review team.

API integration into your system

Delivers results as structured data (JSON) to your CRM, your access control system, your onboarding platform, or any internal system you already use, with no dependency on an external dashboard.

Use cases

Digital onboarding and account opening (KYC)

Fintechs, insurers, and businesses that open accounts or contracts remotely use the INE ID reader to validate client identity and capture their data without long forms or manual entry errors.

Office and event access control

Registers visitors by reading their ID card at the front desk, validates their identity against a selfie, and automatically logs the check-in — no paper sign-in sheets required.

Vehicle or equipment rental

Confirms the identity of whoever is renting a vehicle, a tool, or a space by capturing their data and matching their face against the ID card before handing over the asset.

Age or identity verification for regulated services

Businesses that need to confirm legal age or identity for a service, a membership, or a regulated transaction use the reader to validate the data in seconds instead of relying on manual review.

Employee and vendor onboarding

HR or procurement teams capture each new person official ID at onboarding, with the data already structured for the file and no manual transcription needed.

Integrations

WhatsApp Business API (receiving ID photos)CRM (Salesforce, HubSpot)Access control systemsE-signature platforms (Mifiel, DocuSign)Your own internal system via REST APIEnterprise databases (SQL and NoSQL)AISDC facial recognition (selfie matching)

Frequently asked questions

What is an INE ID reader?+

It is a system that uses OCR and artificial intelligence to automatically read the data printed on a Mexican INE voter ID card (name, CURP, voter key, address, expiration date) from a photo or scan, with no manual transcription required. It can also read the barcode and the back-side MRZ as an additional cross-check.

Is it legal to read and store data from a client ID card?+

Yes, as long as you have the cardholder consent and comply with Mexico Federal Law on Protection of Personal Data Held by Private Parties, including a proper privacy notice and the corresponding security measures. At AISDC we design the capture and storage flow to fit those requirements, but the legal responsibility for handling the data rests with your company as the data controller.

How is this different from a generic document-scanning app?+

A generic scanning app digitizes the image but does not understand the specific layout of a Mexican INE card or validate its fields. Our reader recognizes the exact card model, extracts each field by its real position and format, cross-checks that data against the barcode or MRZ when present, and integrates directly into your system instead of just handing you an image or a PDF.

Does it work with older cards that do not have an MRZ?+

Yes. The system recognizes different INE card models and its predecessor the IFE, and adjusts OCR reading to the fields visible on each version. The MRZ and some QR codes only exist on the newest models, so on older cards the system relies on front and back OCR and, when available, the barcode.

Can it be combined with facial recognition for KYC processes?+

Yes, that is one of its most common uses. Beyond reading the card data, we compare the printed photo against a live selfie captured from the user to confirm it is the same person — a standard step in customer identity verification (KYC) for fintechs, insurers, and other regulated businesses.

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