On-device OCR for real-time mobile, web, and IoT applications
picoOCR delivers DeepSeek-OCR-2 accuracy and capability entirely on the device across platforms. Lightweight production-grade text extraction from images and documents on any platform. No GPU dependency.
On-device text extraction for mobile and embedded applications at scale
picoOCR extracts machine-readable text from images and documents entirely on the local device — no cloud API call, no image upload, no per-page cost. A compact neural model handles detection, layout analysis, and character recognition in a single pass, returning structured text with confidence scores.
Cloud OCR APIs charge per page, require an internet connection, and transmit image data to third-party servers. Open-source OCR alternatives require significant engineering to deploy, tune, and maintain. picoOCR ships as a production-ready SDK with consistent state-of-the-art DeepSeek-OCR-2-level accuracy across platforms and enterprise support, without the MLOps overhead.
picoOCR supports printed text, receipts, invoices, ID documents, forms, labels, signage, and handwritten notes. The model handles multiple fonts, mixed-language pages, tables, low-resolution images, and skewed or rotated input without preprocessing.
Why enterprises choose picoOCR On-device Optical Character Recognition
picoOCR is the only production-grade on-device OCR engine that runs across every platform: mobile, web, embedded, and desktop. It matches the accuracy of DeepSeek-OCR-2 while running entirely on the device, with no GPU requirement and no data leaving the hardware.
Ship it.
On device.
Accurate, lightweight, and private on-device OCR
Common questions about on-device OCR
picoOCR On-device Optical Character Recognition recognizes printed text, handwritten text, scene text (signs, labels, real-world images), and structured documents, including ID cards, receipts, invoices, passports, and machine-readable zones (MRZ). It also extracts tables, formulas, and figures within documents.
Yes. picoOCR On-device Optical Character Recognition includes built-in rotation and skew correction, handling tilted, rotated, and perspective-distorted images before recognition without requiring the user to align the device precisely.
picoOCR On-device Optical Character Recognition recognizes text across a wide range of scripts and languages in a single model, including documents containing multiple languages on the same page, without requiring language-specific model downloads or pre-selection.
Yes. picoOCR On-device Optical Character Recognition recognizes both cursive and print handwriting from notes, forms, and annotations, handling variations in style, pressure, and pen type.
Yes. picoOCR On-device Optical Character Recognition processes frames from a live camera feed entirely on device, enabling instant text capture without requiring the user to photograph a document and wait for a result.
picoOCR On-device Optical Character Recognition accepts standard image formats, including JPEG, PNG, BMP, and TIFF, as well as PDF documents.
picoOCR On-device Optical Character Recognition returns structured JSON for programmatic use, plain text for storage and search, markdown with layout preservation, and a searchable PDF for document workflows.
No. picoOCR On-device Optical Character Recognition runs on standard CPU hardware with no dedicated AI accelerator, discrete GPU, or neural processing unit required, making it deployable on commodity mobile hardware, single-board computers, and embedded devices.
picoOCR On-device Optical Character Recognition uses WebAssembly to run entirely within the browser, across Chrome, Firefox, Safari, and Edge. No server connection is required, and no data leaves the device.
Yes. picoOCR On-device Optical Character Recognition returns text in the logical reading order of the document, correctly handling multi-column layouts, sidebars, and mixed content pages.
No. picoOCR On-device Optical Character Recognition runs entirely on the device. Images and extracted text are never transmitted to Picovoice or any third-party server. There is no data controller relationship and no processing agreements required.
picoOCR On-device Optical Character Recognition is private by architecture: all processing happens locally with no data transmitted to Picovoice or any third-party server. Images and extracted text never leave the device. This architectural property makes picoOCR On-device Optical Character Recognition intrinsically suitable for the following regulated environments:
- HIPAA (US): No protected health information (PHI) is transmitted or stored by Picovoice. picoOCR On-device Optical Character Recognition can process medical documents, patient records, and clinical forms without creating a data controller relationship or requiring a Business Associate Agreement with Picovoice.
- GDPR (EU): No personal data leaves the device. There is no cross-border data transfer, no data processing agreement required, and no risk of unauthorized disclosure through Picovoice's systems.
- CCPA (California): No consumer data is collected, sold, or shared by Picovoice. picoOCR On-device Optical Character Recognition does not trigger CCPA obligations related to third-party data sharing.
- PIPEDA (Canada): No personal information is transmitted to or accessible by Picovoice, satisfying the core accountability and data minimization principles of Canadian federal privacy law.
- CJIS (US, law enforcement): picoOCR On-device Optical Character Recognition processes criminal justice information, biometric data, mugshots, and identity documents entirely on device with no transmission outside the physically secured environment, directly supporting CJIS Security Policy requirements for data confidentiality and access control.
- FERPA (US, education): Student records and educational documents processed by picoOCR On-device Optical Character Recognition are never transmitted to Picovoice, supporting compliance for institutions handling personally identifiable student information.
Picovoice does not store, process, or have access to any end-user image data under any circumstances.
Yes. picoOCR On-device Optical Character Recognition requires no network connectivity. It can run in fully air-gapped environments with no degradation in accuracy.
picoOCR On-device Optical Character Recognition runs on Android, iOS, macOS, Windows, Linux, Raspberry Pi, and all major browsers (Chrome, Firefox, Safari, Edge) via WebAssembly, across AMD, Intel, NVIDIA, and Qualcomm hardware.
Picovoice docs, blog, Medium posts, and GitHub are great resources to learn about voice AI, Picovoice technology, and how to start building vision products. Enterprise customers get dedicated support specific to their applications from Picovoice Product & Engineering teams. Reach out to your Picovoice contact or talk to sales to discuss support options.