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Small model extracts text from white backgrounds, inspired by DONUT

A user on Reddit's r/MachineLearning subreddit has developed a small model capable of extracting text from images with a white background. Inspired by the DONUT model, the project initially aimed to extract information from receipts but was simplified to focus on text extraction from white backgrounds. The developer shared the project's GitHub repository and is seeking feedback from the community. AI

IMPACT Demonstrates a focused application of text extraction models for specific visual contexts.

RANK_REASON User-developed model release with a GitHub repository and call for feedback. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Small model extracts text from white backgrounds, inspired by DONUT

How we ranked this

Signal score
0 / 100
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Newsworthiness bucket
Tool
User-developed model release with a GitHub repository and call for feedback. [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
73 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/ZeroMe0ut ·

    Made a small model that extracts text from a white background [P]

    <!-- SC_OFF --><div class="md"><p>Hello,</p> <p>I read a paper on a model named DONUT that extracts text from documents, which became my inspiration for this little project. Initially I wanted to make a model that extracts items bought from receipts, but in the process of trying …