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localOCR: Instructions file for Gemini CLI

GEMINI.md

localOCR GEMINI.md is an instructions file for Gemini CLI from Curiosity-Ai-BV/localOCR. It costs 759 tokens per session, scanned A, original, MIT.

Project instructions for localOCR, a private tool that uses locally run AI vision models to analyze images and PDF files. They describe its Streamlit web interface, command-line interface, setup, architecture, and data extraction features.

In plain words
What is it for?
Use them when changing or running localOCR, including image description, extracting fields into JSON or CSV, processing PDF pages, and using batch commands.
Why use it?
They give a coding agent the project context needed to work consistently in the repository. They also document how visual files are processed without sending them to the cloud.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md.

This is Curiosity-Ai-BV/localOCR's own configuration. It tells Gemini CLI how to work on localOCR itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything localOCR configures →

not rated 148repo 5mo ago A scan 759 tokens original MIT
View source ↗ Curiosity-Ai-BV/localOCR
Reuse

Borrowing it

Nothing to install: this file belongs to Curiosity-Ai-BV/localOCR. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Curiosity-Ai-BV/localOCR/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/Curiosity-Ai-BV/localOCR

Made for: Gemini CLI.

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README.md
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Per session 759 This file is loaded in full into every session.
When invoked 759 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00759 $0.00759
Opus 5.5 $0.00304 $0.00304
Sonnet 5.5 $0.00152 $0.00152
Haiku 4.5 $0.00076 $0.00076

Measured 2mo ago against content hash 79552667cf8b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

localOCR GEMINI.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

GEMINI.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Curiosity AI Scans (localOCR)

This project is a local, private AI vision tool that leverages Ollama to analyze images and PDFs. It provides both a web-based UI (Streamlit) and a command-line interface for batch processing.

Project Overview

  • Goal: To provide a secure, local way to extract information from visual documents and images without sending data to the cloud.
  • Core Technology: Uses local vision models (like Gemma 3 12B, Llama 3.2 Vision) running via Ollama.
  • Key Features:
    • General Description: Generates textual descriptions of images.
    • Structured Extraction: Extracts specific fields (e.g., Invoice Number, Date, Total) into JSON/CSV formats.
    • PDF Support: Renders and processes PDF pages individually or as a document.
    • Dual Interface: Interactive Streamlit UI and headless CLI.

Architecture

The codebase is modularized into the following components:

  • app.py: The main entry point for the Streamlit web interface. Handles UI layout, state management, and user interaction.
  • cli.py: The command-line interface for headless batch processing. Supports concurrency and rate limiting.
  • core/: Contains the business logic.
    • pipeline.py: Orchestrates the image/PDF processing flow (resize -> encode -> infer).
    • image_utils.py: Handles image resizing and base64 encoding.
    • pdf_utils.py: Manages PDF loading and page rendering using PyMuPDF.
    • json_extract.py: Logic for parsing structured data from model outputs.
    • templates.py: Manages prompt templates.
  • adapters/: Interfaces with external services.
    • ollama_adapter.py: Handles communication with the local Ollama instance (model listing, chat API).
  • ui/: Helper modules for the Streamlit UI (e.g., export functionality).
  • utils/: Shared types and small utility functions.

Setup and Usage

Prerequisites

  1. Python: 3.9 - 3.12
  2. Ollama: Must be installed and running (ollama serve).
  3. Models: Vision models must be pulled (e.g., ollama pull gemma3:12b).

Read the full file on GitHub · 74 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 74 lines · 759 tokens per session scan A 79552667cf8b

Subscribe to this mod's changes

localOCR GEMINI.md is an instructions file published in the GitHub repository Curiosity-Ai-BV/localOCR (148 stars, last pushed 5mo ago), licensed MIT. It adds 759 tokens to every session, about $0.0030 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.

Data and AIDocumentsPDF
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