Gemma 4 26B for OCR in LM Studio

Melvin Vivas · X post · 2026-04-03 · Open on X

Topics: LLM Fundamentals, AI Dev Tools & Productivity · Level: beginner

Summary

The creator found Gemma 4 26B very good at OCR (reading text from images) when he ran it locally in LM Studio. This points to a local, private option for extracting text from documents.

Key points

• Gemma 4 26B can read text from images (OCR) well.
• LM Studio is a desktop app for running local models, and it supports image input.
• Running OCR locally keeps your documents private.

Resources mentioned

• LM Studio · tool · x.com · free
  Desktop app for downloading and running LLMs locally, with a developer mode that serves models through an API.
  Also in: Running LLMs Locally Without an Expensive Rig (Melvin Vivas on X · notes), Adding Vercel AI Gateway as a provider in AIBackends with Devin (Melvin Vivas on X · notes), LoRA Fine-Tune Qwen3.5-2B on Your Tweets with Unsloth Studio (Melvin Vivas on X · notes), AIBackends: An API Layer Between Your App and AI Models (Now with Jev) (Melvin Vivas on X · notes) and 31 more
• Gemma 4 26B · tool · ai.google.dev · free
  Mid-sized multimodal open model in Google's Gemma 4 family.
  Also in: Free gpt-oss-20b and Gemma 4 26B on OpenRouter (Melvin Vivas on X · notes), Local Prompt-to-Image Pipeline: ComfyUI + LM Studio Gemma + Z-Image Turbo (Melvin Vivas on X · notes)

Try this

• Load Gemma 4 26B in LM Studio and test it on OCR of your own documents.
• Build a local document OCR pipeline with Gemma 4 26B running in LM Studio.