OCR for Liberate Health
LANCER
Lancer :
Ideal for quick, focused engagements
Team: ≤ 2 resources
Duration: ≤ 3 weeks
Indicative Budget: ≤ $3,000 USD*
Use Cases: MVPs, prototypes, simple websites, bug-fix sprints
Indicative Pricing: ~$15–$25/hr per resource*
Growth :
Best suited for growing products or structured builds
Team: 2–5 resources
Duration: Up to 4 months
Indicative Budget: Up to $30,000 USD*
Use Cases: Feature-rich web apps, integrations, custom dashboards
Indicative Pricing: ~$15–$35/hr per resource*
Enterprise :
Tailored for high-scale, complex or long-term initiatives
Team: 5+ resources
Duration: More than 4 months
Indicative Budget: Starts from $30,000+ USD*
Use Cases: End-to-end platforms, SaaS products, compliance-heavy systems
Indicative Pricing: ~$25–$50/hr depending on roles*
(Development)
Project Description
Liberate Health, a health-tech platform dedicated to improving clinical communication, aimed to digitize handwritten prescriptions for quicker data access and improved record-keeping. They turned to Oodles to build a backend OCR solution that automates image-to-text conversion using cloud-based intelligence for efficient healthcare workflows.
Scope Of Work
The client sought a solution from Oodles to streamline prescription digitization by extracting handwritten data from images. The client needed a backend setup that connects to Google Vision API, processes clinical notes in real time, and delivers structured outputs. Key focus areas included OCR integration, secure credential handling, and script-based automation.
Our Solution
To meet the client's need for fast, accurate text extraction, Oodles implemented a streamlined OCR system powered by Google Vision API. Key features include:
- Repository Setup: Cloned the Liberate Health GitHub repository and configured the working directory structure.
- Package Installation: Installed all necessary Node.js dependencies to support OCR and automation.
- Environment Configuration: Added secure handling of Google Vision credentials via .env file integration.
- OCR Automation Script: Developed a custom data.js script that fetches and processes image files for text extraction.
- Text Structuring: Parsed OCR output into structured data formats for easier health record integration.
Share Your Requirements