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It leverages the power of cutting-edge deep learning to enhance the world of file type detection. It provides increased accuracy and support for a comprehensive range of content types, outperforming traditional tools with 99%+ average precision and recall. | Transform basic prompts into expert-level AI instructions. Enhance, benchmark & optimize prompts for ChatGPT, Claude, Gemini & more. |
Available as a Python command line, a Python API, and an experimental TFJS version;
Trained on a dataset of over 25M files across more than 100 content types;
Achieves 99%+ average precision and recall, outperforming existing approaches;
After the model is loaded (this is a one-off overhead), the inference time is about 5ms per file | Prompt Enhancement, Real-Time Scoring, A/B Testing, Prompt Compare, Image-to-Prompt, Presentation Builder, Smart Templates, Analytics Dashboard, Version Control, Collections & Folders, Chrome Extension, Expert Prompt Library |
Statistics | |
GitHub Stars 8.9K | GitHub Stars - |
GitHub Forks 454 | GitHub Forks - |
Stacks 0 | Stacks 10 |
Followers 2 | Followers 2 |
Votes 0 | Votes 1 |
Integrations | |
| No integrations available | |
DocRaptor makes it easy to convert HTML to PDF and XLS format. Choose your document format, select configuration options and make an HTTP POST request to our server. DocRaptor returns your file in a matter of seconds. We provide extensive documentation and examples to get you started, and our API makes it easy to use DocRaptor to generate PDF and Excel files in your own web applications.

It is a free and open-source document converter, widely used as a writing tool and as a basis for publishing workflows. It converts files from one markup format into another. It can convert documents in (several dialects of) Markdown, reStructuredText, textile, HTML, DocBook, LaTeX, MediaWiki markup, TWiki and many more.

The most advanced, consistent, and effective AI humanizer on the market. Instantly transform AI-generated text into undetectable, human-like writing in one click.

Waxell is the AI governance plane for agentic systems in production. It sits above agents, models, and integrations, enforcing constraints and defining what's allowed. Auto-instrumentation for 200+ libraries without code changes. Real-time tracing, token and cost tracking, and 11 categories of agentic governance policy enforcement.

That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology

A powerful image-to-table extraction utility. It allows developers to parse JPG/PNG images containing tabular data and convert them into machine-readable formats (Excel, CSV, JSON) for data processing pipelines.

It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.

It allows you to run open-source large language models, such as Llama 2, locally.

It is a project that provides a central interface to connect your LLMs with external data. It offers you a comprehensive toolset trading off cost and performance.

It is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. It extends the LangChain Expression Language with the ability to coordinate multiple chains (or actors) across multiple steps of computation in a cyclic manner.