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That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology | Land more interviews faster with AI resume tailoring. Upload once, customize for every job, save time, and boost your hiring chances. Start free today!. |
Notion-style editor, Mobile-friendly design, Multiple text variants, AI-generated content transformation, Human-like text output, Freemium pricing model, Priority support (Pro plan), Custom AI models (Pro plan). | ai resume tailoring, saas, ai |
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Uploadcare is file management platform and a CDN for user-generated content. It is a robust file API for uploading, managing, processing, rendering, optimizing, and delivering users’ content.

Transloadit handles file uploading & file processing for your websites and mobile apps. We can process video, audio, images and documents.

Bytescale is the best way to serve images, videos, and audio for web apps. Includes: Fast CDN, Storage, and Media Processing APIs.

Uppy is a sleek modular file uploader for web browsers. Add it to your app with one line of code, or build a custom version with just the plugins you need via Webpack/Browserify. 100% open source, backed by a company (Transloadit).

Filepicker helps developers connect to their users' content. Connect, Store, and Process any file from anywhere on the Internet.

This gem provides a simple and extremely flexible way to upload files from Ruby applications. It works well with Rack based web applications, such as Ruby on Rails.

It is a fast, open source text processor and publishing toolchain for converting AsciiDoc content to HTML5, DocBook, PDF, and other formats. Asciidoctor is written in Ruby and runs on all major operating systems

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

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.