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Chandra OCR 2

by Datalab

AI Model
Low Confidence

Chandra OCR 2 is an advanced optical character recognition (OCR) tool designed to convert various types of documents, including scanned paper documents, PDFs, and images, into editable and searchable data. It leverages machine learning and AI techniques to improve accuracy and efficiency in text recognition, supporting multiple languages and complex layouts. The tool is often used for digitizing printed texts, automating data entry processes, and enhancing document management workflows.

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Transparency Score
40%
Limited transparency
Supply Chain
20/20
Compliance
10/20
Policy
10/25
Technical
0/25
Ethical & Operational
0/10
Openness Assessment
7%Closed
1 Open
0 Partial
0 Closed
13 Unknown
Availability
0/5 Open
Documentation
1/6 Open
Access Methods
0/3 Open
Data from EU Open Source AI Index (DOI: 10.5281/zenodo.15386042), licensed under CC-BY 4.0
Capabilities
Text Recognition
Document Digitization
Data Extraction
Language Translation Support
Vendor Information

Complete information about the vendor/provider of this AI application

DatalabView all products →
Endless Labs, Inc.
Contact Information
www.datalab.to/
support@datalab.to
Registered Address
228 Park Ave. S PMB 3336.31, New York, NY, 10003-1502, United States
EU AI Act Provider Information
Verification Status:
Unverified
Endless Labs, Inc.
228 Park Ave. S PMB 3336.31, New York, NY, 10003-1502, United States
support@datalab.to
Compliance Documents
CE Marking: Not Applicable
Supply Chain Network

Visual representation of the vendor's digital supply chain relationships

Subprocessors

Third-party vendors and subprocessors used by this vendor

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Policies & Documents

Legal, privacy, and compliance documentation

Legal & Terms

Terms of Use

Privacy & Security

Privacy Policy

Compliance

Trust Center

Other

Data Use Policy
Other
Subprocessors list
Other
Compliance & Risk

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Data Categories

Types of data commonly processed by this application

Pii
User Content
Images
Financial Data
Legal Documents
Added: April 30, 2026
Updated: April 30, 2026

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