had this thought when someone just used qwen3.5 to read the content of a pdf file very accurately even the signature. so this question arose in my mind.
[link] [comments]
Are ocr engines like tesseract still valid or do people just use image recognition models now.
Reddit r/LocalLLaMA / 4/5/2026
💬 OpinionSignals & Early TrendsIdeas & Deep AnalysisTools & Practical Usage
Key Points
- The post questions whether traditional OCR engines like Tesseract remain useful given that modern image/PDF understanding with LLMs (e.g., Qwen3.5) can extract text very accurately, including signatures.
- It contrasts “OCR-style” approaches with newer image recognition or multimodal model pipelines that may combine visual understanding with language generation.
- The underlying discussion highlights accuracy, robustness, and end-to-end extraction quality as the key decision factors when choosing between OCR engines and model-based extraction.
- It implicitly raises practical considerations such as workflow complexity and deployment tradeoffs when switching from dedicated OCR tools to general-purpose AI models.
submitted by /u/optipuss
[link] [comments]
Related Articles
Black Hat USA
AI Business
Black Hat Asia
AI Business
Who is Xu Rui, the ex-ByteDance executive tapped by Meta to lead AI hardware?
SCMP Tech
I Built a Voice AI with Sub-500ms Latency. Here's the Echo Cancellation Problem Nobody Talks About
Dev.to
How I Found $1,240/Month in Wasted LLM API Costs (And Built a Tool to Find Yours)
Dev.to
