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quwano/glm-ocr-desktop

Analysis updated 2026-05-18

0PythonAudience · generalComplexity · 2/5LicenseSetup · moderate

TLDR

A desktop app that turns PDFs, scans, and images into editable Markdown or plain text using an AI vision model, without uploading files online.

Mindmap

mindmap
  root((GLM-OCR-Desktop))
    What it does
      Extracts text from PDFs
      Recognizes scanned images
      Outputs Markdown or text
    Tech stack
      Python
      GLM-OCR
    Use cases
      Convert scans to text
      Digitize documents
      Preserve headings and tables
    Audience
      General users
      Writers

Code map

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What do people build with it?

USE CASE 1

Convert a scanned PDF into editable Markdown with headings and tables preserved.

USE CASE 2

Turn photos of documents into plain text without uploading them to a cloud service.

USE CASE 3

Extract text directly from PDFs that already contain embedded text, without using AI.

USE CASE 4

Digitize notes or paperwork into a format you can search and edit.

What is it built with?

PythonGLM-OCR

How does it compare?

quwano/glm-ocr-desktop0xhassaan/nn-from-scratch3ks/embedoc
Stars00
LanguagePythonPythonPython
Last pushed2023-06-08
MaintenanceDormant
Setup difficultymoderatemoderatehard
Complexity2/54/51/5
Audiencegeneraldeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Needs about 4 GB of free disk space for the AI vision model.

You can use, modify, and self host this freely, but if you run a modified version as a network service you must share your source code changes under the same license.

In plain English

GLM-OCR-Desktop is a desktop application that reads PDF, PNG, and JPG files and converts them into readable text. OCR stands for optical character recognition, the process of extracting text from images or scanned documents. This tool takes that a step further by also preserving document structure: when you choose Markdown output, headings and tables in the original document are converted into their Markdown equivalents, making the result useful for notes, editing, or feeding into other tools. The application handles two distinct situations. If a PDF already contains real embedded text (such as a PDF exported from a word processor), the tool extracts it directly without using an AI model, which is fast and accurate. If the input is a scanned image, an image only PDF, or a PNG or JPG file, the tool uses an AI vision model called GLM-OCR to analyze the layout and recognize the text. You can save the result as either Markdown (which preserves headings and tables) or plain unformatted text. The interface detects your system language automatically and displays in Japanese, English, or German. The application supports macOS and Windows, and an installer script is provided for both platforms that handles the setup of Python, the required libraries, and the AI model files. The AI model requires roughly 4 GB of free disk space. The tool is built in Python and released under the AGPL-3.0 open source license. You would use this when you need to turn scanned documents or image files into editable text, without uploading them to an online service.

Copy-paste prompts

Prompt 1
Help me install GLM-OCR-Desktop on macOS or Windows using the installer script.
Prompt 2
Explain the difference between how this tool handles a text based PDF versus a scanned image.
Prompt 3
Show me how to get Markdown output with tables preserved from a scanned document.
Prompt 4
Help me free up the roughly 4 GB of disk space needed for the GLM-OCR AI model.

Frequently asked questions

What is glm-ocr-desktop?

A desktop app that turns PDFs, scans, and images into editable Markdown or plain text using an AI vision model, without uploading files online.

What language is glm-ocr-desktop written in?

Mainly Python. The stack also includes Python, GLM-OCR.

What license does glm-ocr-desktop use?

You can use, modify, and self host this freely, but if you run a modified version as a network service you must share your source code changes under the same license.

How hard is glm-ocr-desktop to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is glm-ocr-desktop for?

Mainly general.

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