The latest articles on DEV Community by shawala ashiq (@shawala_ashiq). https://dev.to/shawala_ashiq https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3857086%2F6467f9e6-44dc-4771-8fdb-cb6b6213ba1d.jpg https://dev.to/shawala_ashiq en shawala ashiq Thu, 02 Apr 2026 07:44:56 +0000 https://dev.to/shawala_ashiq/ditching-tesseract-why-i-switched-to-ai-powered-ocr-for-better-accuracy-and-formatting-1i60 https://dev.to/shawala_ashiq/ditching-tesseract-why-i-switched-to-ai-powered-ocr-for-better-accuracy-and-formatting-1i60 <p>If you have ever tried building a project that involves extracting text from images, you probably started with Tesseract. It's the classic choice, but let’s be real—it struggles with anything that isn't a perfectly scanned, high-contrast document.<br> Recently, I decided to move away from traditional OCR engines and experiment with LLM-based vision models (like Gemini) to see if they could handle real-world "messy" data better. The results were night and day.<br> I eventually turned this experiment into a free tool called <a href="https://aitextextractors.com/" rel="noopener noreferrer">AITextExtractors</a>.<br> Why the AI approach wins:<br> Context Awareness: Instead of just looking at pixels, the AI understands words. If a character is blurry, it uses the surrounding con<br> <a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fm7joa62viv5edlzk96yh.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fm7joa62viv5edlzk96yh.png" alt=" " width="800" height="800"></a>text to "guess" correctly.<br> Complex Layouts: It doesn't get confused by multi-column PDFs or skewed images.<br> Handwriting: It can actually read human handwriting, which is a huge pain point for older OCR tools.<br> The Privacy Factor<br> One thing I focused on while building this was data security. Most online converters keep your files on their servers. I implemented a strict zero-log policy so that images are processed and then immediately purged.<br> If you're a developer or just someone tired of fixing OCR typos, give it a shot. I’d love to hear your thoughts on how we can make AI-driven text extraction even more seamless!</p> ai productivity webdev opensource