#ocr

Tiny OCR

In our paper reading group last month I presented DeepSeek’s Context Optical Compression paper which claimed amazing performance with a much smaller model (3 billion parameters) than the previous frontier models I had used for OCR (Claude Sonnet and ...

Feb 113 min read

AKAkshay Kanthed100daysofshipping.hashnode.dev

Day4: When Sanskrit Speaks and Explains Itself: Building an India-First Voice AI with Bulbul V3

Voice AI is everywhere today — but most of it still feels… foreign. Foreign accents.Foreign assumptions.Foreign ways of explaining things. While building for the Build with Bulbul challenge, I asked a simple question: What if India could listen to i...

Feb 84 min read

RReactiveZeroblog.reactivezero.com

Breaking Through Air Gaps: How We Built an OCR-Based Data Exfiltration Tool

When traditional file transfer methods are locked down, sometimes the answer is literally staring you in the face. The Problem: Extracting Data from Fortress Environments Picture this: You're working in a highly secured environment. The network is co...

Feb 64 min read

NSNikolaus Schauersbergerniksystemdesign.hashnode.dev

DeepSeek OCR 2: Lokale Dokumentenerkennung mit KI (Setup Guide 2026)

DeepSeek OCR 2 ist ein 3B-Parameter Vision-Language-Modell, das am 27. Januar 2026 veröffentlicht wurde. Anders als klassische OCR-Systeme, die nur Text extrahieren, versteht dieses Modell Dokumentenstrukturen wie ein Mensch – es liest in der logisch...

Feb 35 min read

FMFarzam Mohammaditriedandtestedbuilds.com

Setting Up Your Self-Hosted AI Stack - Part 3: From Receipts to Structured Data with Vision Language Models and n8n

It's Been a While Sorry for being away for so long. I've been head-down strengthening my software engineering foundation—consuming rather than producing. After a while, I started feeling this pull to balance things out by building again. I just finis...

Feb 321 min read

DMDewa Mahendradewa-mahendra.hashnode.dev

Enhancing Local Prototypes with Invoice OCR and AI Document Extraction

Objective The objective is to empower users to upload invoice documents, in either PDF or image formats, and receive structured, machine-readable invoice data that is ideal for storage, reporting, and automation. This capability is crucial for busine...

Feb 34 min read

PSPriya Sharmaall-mail.hashnode.dev

The Rise of AI-Native Inboxes: How Edge Computing Powers Future Mobile Work

In the software development landscape of 2026, we’ve reached the limits of "Cloud-Everything." While centralized processing was the backbone of the last decade, the high-latency and privacy risks of constantly shipping data to a remote server have be...

Jan 293 min read

STShubham Tribediqubridai.hashnode.dev

Why Tencent Hunyuan OCR with Qubrid API Sets a New Industry Standard for Document Intelligence

For years, OCR has been treated as a solved problem. Extract text from an image, dump it into a file, and move on. But anyone who has actually built production systems knows the truth - real-world documents are messy. They are skewed, low resolution,...

Jan 197 min read

DDixit@oodlesoodles-technology.hashnode.dev

PaddleOCR: Smart Text Extraction for Faster Business Automation

Paddle OCR is a powerful open-source Optical Character Recognition (OCR) solution designed to extract text from images and scanned documents with speed and high accuracy. Whether you’re processing invoices, KYC documents, IDs, forms, receipts, or mul...

Jan 191 min read

BKBinesh Kumarthedatasense.com

OCR on Engineering Drawings with a 0.9B Vision-Language Model

Late last year, I started exploring how to extract metadata from product drawings. Part numbers, material specifications, revision history, manufacturing process notes. The kind of information that lives in title blocks and needs to end up in a PLM d...

Jan 72 min read

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#ocr

Tiny OCR

Day4: When Sanskrit Speaks and Explains Itself: Building an India-First Voice AI with Bulbul V3

Breaking Through Air Gaps: How We Built an OCR-Based Data Exfiltration Tool

DeepSeek OCR 2: Lokale Dokumentenerkennung mit KI (Setup Guide 2026)

Setting Up Your Self-Hosted AI Stack - Part 3: From Receipts to Structured Data with Vision Language Models and n8n

Enhancing Local Prototypes with Invoice OCR and AI Document Extraction

The Rise of AI-Native Inboxes: How Edge Computing Powers Future Mobile Work

Why Tencent Hunyuan OCR with Qubrid API Sets a New Industry Standard for Document Intelligence

PaddleOCR: Smart Text Extraction for Faster Business Automation

OCR on Engineering Drawings with a 0.9B Vision-Language Model

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#ocr

Tiny OCR

Day4: When Sanskrit Speaks and Explains Itself: Building an India-First Voice AI with Bulbul V3

Breaking Through Air Gaps: How We Built an OCR-Based Data Exfiltration Tool

DeepSeek OCR 2: Lokale Dokumentenerkennung mit KI (Setup Guide 2026)

Setting Up Your Self-Hosted AI Stack - Part 3: From Receipts to Structured Data with Vision Language Models and n8n

Enhancing Local Prototypes with Invoice OCR and AI Document Extraction

The Rise of AI-Native Inboxes: How Edge Computing Powers Future Mobile Work

Why Tencent Hunyuan OCR with Qubrid API Sets a New Industry Standard for Document Intelligence

PaddleOCR: Smart Text Extraction for Faster Business Automation

OCR on Engineering Drawings with a 0.9B Vision-Language Model