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icereed/paperless-gpt

Use LLMs and LLM Vision (OCR) to handle paperless-ngx - Document Digitalization powered by AI

Go ◇ ai MIT
★2.7KSTARS
⑂212FORKS
!169ISSUES
🏆#1,586GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for icereed/paperless-gpt
CSV

Momentum

+68

STARS · LAST 30 DAYS

2

PER DAY

#200

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+14+68+180
Per day222
Forks gained+1+4+11

paperless-gpt gained 68 stars in the last 30 days, about 2 a day, and now has 2.7K. It is about 2 years old and has averaged roughly 1.4K stars a year. It ranks #200 among Go repositories and #1,586 across all languages on GitHubRepo.

Trending Record

paperless-gpt has maintained a continuous presence across global trending indexes, peaking at #1215. Below is the 30-day activity profile:

💡 Overview

paperless-gpt is an open-source project written in Go: Use LLMs and LLM Vision (OCR) to handle paperless-ngx - Document Digitalization powered by AI.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, chatgpt, llm. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Go for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ go install github.com/icereed/paperless-gpt@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

paperless-gpt coordinates its core functionality through a modular Go pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with paperless-gpt.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install paperless-gpt using your package manager: `go install github.com/icereed/paperless-gpt@latest`

2

Initialize your project workspace or configuration file for paperless-gpt.

3

Import paperless-gpt into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `paperless-gpt --help` to verify successful setup.

👍 Strengths

Active community backing with 2,714 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Go for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Go and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

icereed/paperless-gpt is currently ranked #1,586 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,580 microsoft/clarity TypeScript ★ 2.7K Compare ↗
#1,582 Pathoschild/SMAPI C# ★ 2.7K Compare ↗
#1,583 sheeki03/tirith Rust ★ 2.7K Compare ↗
#1,584 marketcalls/openalgo Python ★ 2.7K Compare ↗
#1,585 pvolok/dekit Rust ★ 2.7K Compare ↗
#1,586 icereed/paperless-gpt This Project Go ★ 2.7K
#1,587 szTheory/exifcleaner TypeScript ★ 2.7K Compare ↗
#1,587 ray-project/kuberay Go ★ 2.7K Compare ↗
#1,587 medplum/medplum TypeScript ★ 2.7K Compare ↗
#1,590 openai/openai-dotnet C# ★ 2.7K Compare ↗
#1,591 kanwei/algorithms Ruby ★ 2.7K Compare ↗

Frequently Asked Questions

What does paperless-gpt do? +

Use LLMs and LLM Vision (OCR) to handle paperless-ngx - Document Digitalization powered by AI

What language is paperless-gpt written in? +

The primary language is Go. Topics include: ai, chatgpt, llm, mistral, ocr.

Is paperless-gpt actively maintained? +

Yes, the last recorded push was on Sep 25, 2026 with 169 open issues being tracked.

How many stars does paperless-gpt have? +

paperless-gpt has 2,716 stars and 212 forks on GitHub.

How does paperless-gpt rank among GitHub repositories? +

With 2,716 stars, icereed/paperless-gpt is ranked #1,586 globally across all repositories tracked on GitHubRepo and #200 among Go projects.

What license is paperless-gpt distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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