Peru’s digital market has reached a scale at which a slow onboarding form can quickly become a commercial problem. Recent guides describe e-commerce, FinTech, GovTech, software, digital services, and telecommunications as leading areas of the country’s rapidly growing digital economy. As Peruvian businesses move KYC and onboarding into mobile apps and browsers, customers expect to move through these journeys without retyping every field from an identity document. Companies therefore need an ID scanning solution that makes this step quick and convenient, keeps personal data within their control, and helps them meet regulatory requirements. In this blog post, we explore how OCR Studio’s ID Scanning SDK supports companies operating in Peru.
Peru’s Document Landscape: Four Formats That Matter
ID scanning in Peru needs to cover both established formats and a fast-moving transition to electronic credentials. In 2025, Peru’s civil registry issued the third-generation electronic national ID card. The new polycarbonate card has a cryptographic chip, a QR code, and 64 security features, while previously issued blue and yellow cards remain valid until their expiry dates. Businesses may therefore receive several legitimate layouts for years to come.
Other document groups add their own variation. Peru issues biometric passports built to international standards. Their data pages combine a visual zone, an MRZ, and a contactless chip. The residence permit landscape is also changing: in July 2026, the migration authority began a pilot of a new electronic residence permit for foreign minors, with a chip holding a facial image, fingerprints, and an electronic signature, while adults continue to use current cards during the initial phase. Driver’s licenses appear in physical form and as a legally equivalent electronic PDF with a digital signature and QR code.
The table below summarizes what makes each document relevant to a digital KYC flow:
Document
Format considerations in Peru
Typical data businesses require
National ID card
Legacy cards coexist with the latest two-sided electronic card
Full name, card number, date of birth, issue and expiry dates
Passport
Biometric booklet with a visual data zone, MRZ, and contactless NFC chip
Full name, passport number, nationality, date of birth, expiry date
Residence permit
Several card generations, with a new electronic version entering a limited rollout in 2026
Full name, nationality, permit number, status, issue and expiry dates
Driver’s license
Physical and electronic formats, multiple classes, categories, and restrictions
Full name, identity number, category, restrictions, issue and expiry dates
For Peruvian businesses, reliable ID and passport OCR is therefore about more than reading clear Latin-script text. A practical system must select the correct layout, handle multi-part names, combine data from two sides where necessary, and return the same field structure across different document generations. If customers must switch to manual entry whenever a card is older, a camera angle is imperfect, or a reflective feature creates glare, the KYC process becomes slower at the point where confidence and convenience matter most.
OCR Studio ID Scanning for Peruvian Businesses
OCR Studio’s ID Scanning SDK turns document images into structured data that can be passed directly to a KYC or onboarding form. Its coverage and deployment options are designed for businesses that serve both Peruvian citizens and international customers.
Broad template and language coverage. The OCR SDK supports 4,000 document templates in 100+ languages. Its multiscript capabilities cover Latin, Cyrillic, Arabic, Hebrew, and East Asian writing systems within one integration.
Stable capture in real-world conditions. The solution is designed for smartphone photos, scans, and video frames affected by blur, glare, shadows, low light, low resolution, perspective distortion, and unexpected angles.
MRZ scanning. For passports, the SDK reads the machine-readable zone and returns its fields in a structured format, reducing dependence on manual transcription.
NFC chip reading. On a compatible device, the SDK performs accurate NFC chip reading, extracting the holder’s personal details and digital portrait.
Fully on-device and web-native deployment. ID and driver’s license scanning runs 100% locally in device memory without sending document images to external parties.
OCR Studio’s Web OCR SDK also enables deployment in desktop and mobile browsers, alongside native mobile, desktop, and on-premises server environments.
Businesses can evaluate the speed and quality of scanning Peruvian passports, national ID cards, residence permits, and driver’s licenses directly in browser via OCR Studio Web Demo.
What ID Scanning Changes for Businesses in Peru
Once an identity document is converted into structured fields, the value extends beyond a faster form. Banks can prefill account applications, telecom operators can shorten subscriber registration, retailers and marketplaces can streamline seller onboarding, and mobility or travel services can automate booking and car rental processes.
Cleaner data with less typing. Automated field capture reduces corrections and back-office rework while giving downstream systems more consistent data.
Personal data stays closer to the business. Completely local ID scanning eliminates data exposure.
Shorter forms support completion. Faster data capture removes repetitive steps, helps customers finish onboarding on the first attempt, and increases conversion by reducing abandonment rate.
Which Peruvian identity documents does OCR Studio’s ID Scanning SDK support?
The SDK supports the key document groups used in Peru: national ID cards, passports, residence permits, driver’s licenses, and student ID cards. This includes legacy blue and yellow ID cards alongside the new third-generation electronic card, as well as physical and electronic driver’s license formats. The same integration can also handle documents issued in other countries.
Why is Peru’s document landscape challenging for ID scanning?
Peru is in a fast transition to electronic credentials, so several legitimate layouts can coexist for years. In 2025, the third-generation electronic national ID card was issued, while older cards remain valid until expiry, and a new electronic residence permit entered a limited pilot in 2026. A practical ID scanning solution must therefore select the correct layout, combine data from two sides where needed, and return the same field structure across document generations.
How does OCR Studio handle real-world capture conditions and multiple languages?
The solution is designed for smartphone photos, scans, and video frames affected by blur, glare, shadows, low light, low resolution, perspective distortion, and unexpected angles. Its multiscript capabilities cover Latin, Cyrillic, Arabic, Hebrew, and East Asian writing systems within one integration. The SDK supports 4,000 document templates in more than 100 languages.
Does OCR Studio support MRZ and NFC chip reading for Peruvian passports?
Yes. For passports, the SDK reads the machine-readable zone and returns its fields in a structured format, reducing dependence on manual transcription. On a compatible device, the solution performs accurate NFC chip reading to extract the holder’s personal details and digital portrait.
What business benefits does OCR Studio’s ID scanning bring to companies in Peru?
Automated field capture reduces corrections and back-office rework while giving downstream systems more consistent data. Banks can prefill account applications, telecom operators can shorten subscriber registration, and retailers, marketplaces, and travel services can streamline onboarding. As ID scanning runs 100% locally on the device, personal data stays closer to the business, and faster forms help customers complete onboarding with less friction.
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About the author
Alexander Sheshkus, Ph.D., is a scientist and inventor specializing in artificial intelligence and machine learning. As Chief Science Officer of OCR Studio, he oversees research and development initiatives focused on advancing AI-powered recognition and computer vision technologies. Alexander developed the core of a string recognition system, proposing and implementing numerous algorithms for neural network training and high-precision text recognition.
With expertise in smart data capture, computer vision, machine learning, and AI, Alexander regularly presents his research at international conferences, industry exhibitions, and scientific forums. His contributions are supported by 70+ scientific publications and 3 US patents, reflecting his ongoing work to advance research and innovation at OCR Studio.