Menu

#Ocr

9 posts

Feed·
9 of 9 posts
GitHub - awlevin/typesafe-computer-use: Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.
🖼️
0Read More

GitHub - awlevin/typesafe-computer-use: Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.

Hacker News·about 1 month ago
#X3HiZopO
#github#typesafe#ocr#macos#photo

Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS. - awlevin/typesafe-computer-use

15s
Deterministic OCR in JavaScript: PaddleOCR for Node, Bun, Deno, and the Browser
🖼️
0Read More

Deterministic OCR in JavaScript: PaddleOCR for Node, Bun, Deno, and the Browser

DEV Community·Awal Ariansyah·6 months ago
#9ubpE1Qu
#one#ocr#javascript#paddle#native

A fast, lightweight PaddleOCR SDK that runs in every JavaScript runtime. Built on PP-OCRv5 and ONNX Runtime, with WebGPU acceleration, INT8 quantization, and 40+ languages.

15s
AWS Textract vs ParseFlow: where the cost crossover actually happens
🖼️
0Read More

AWS Textract vs ParseFlow: where the cost crossover actually happens

DEV Community·DevToolsmith·6 months ago
#ELZxLurs
#aws#engineering#ocr#textract#pages

A volume-by-volume breakdown of when AWS Textract makes sense and when a fixed-price API like ParseFlow becomes the cheaper path. Crossover at ~300 pages/month for invoice extraction.

15s
From Pixels to Prescriptions: Engineering OCR Pipelines for Medical Report Simplification Using MongoDB
🖼️
0Read More

From Pixels to Prescriptions: Engineering OCR Pipelines for Medical Report Simplification Using MongoDB

DEV Community·Kotha Deepak Reddy·6 months ago
#3wYaiBWg
#challenge#ai#ocr#medical#tesseract

From Dev.to - mongodb: From Pixels to Prescriptions: Engineering OCR Pipelines for Medical Report Simplification Using MongoDB

15s