Best AI tools for< Text Processing >

MonkeyLearn is an AI tool that specializes in text processing. It offers a range of features for text classification, extraction, data analysis, and more. Users can build custom models, process data manually or automatically, and integrate the tool into their workflows. MonkeyLearn provides advanced settings for custom models and ensures user data security and privacy compliance.

NLTK (Natural Language Toolkit) is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries, and an active discussion forum. Thanks to a hands-on guide introducing programming fundamentals alongside topics in computational linguistics, plus comprehensive API documentation, NLTK is suitable for linguists, engineers, students, educators, researchers, and industry users alike.

Rewrite AI is an advanced text processing automation tool that utilizes cutting-edge AI technology to fix grammar mistakes, improve clarity, and transform writing style instantly. Users can choose from over 30 writing styles or define a custom tone to achieve perfect results. The tool provides instant results, saving time and effort on editing tasks. Rewrite AI is designed to enhance the quality of written content efficiently and effectively.

iTextMaster is an AI-powered tool that allows users to analyze, summarize, and chat with text-based documents, including PDFs and web pages. It utilizes ChatGPT technology to provide intelligent answers to questions and extract key information from documents. The tool is designed to simplify text processing, improve understanding efficiency, and save time. iTextMaster supports multiple languages and offers a user-friendly interface for easy navigation and interaction.

1minAI is a free all-in-one AI application that offers various AI features for text, image, audio, and video processing. It provides tools like image generation, text removal, background replacement, and more. With no AI training required, the platform ensures user data privacy. Users can access top AI tools for tasks like content creation, design, social media management, and more. The application offers reasonable pricing plans with no hidden fees and secure payment options. Users can earn free credits through daily visits, reviews, and referrals.

Isomeric is an AI tool that uses artificial intelligence to semantically understand unstructured text and extract specific data. It transforms messy text into machine-readable JSON, enabling users to scale their data gathering pipeline in seconds. From web scraping to browser extensions to general information extraction, Isomeric offers a solution to bring order to chaos and make unstructured data structured and usable.

GetDigest is an AI-powered tool that provides lightning-fast document summarization. It can analyze web content and text documents in over 33 languages, summarizing them efficiently by ignoring irrelevant information. The technology is designed to help users process information more effectively, saving time and enhancing productivity. GetDigest offers businesses the opportunity to integrate its technology into their own infrastructure or software projects, supporting various text formats, web environments, archives, emails, and image formats.

Atua is an AI tool designed to provide seamless access to ChatGPT on Mac devices. It allows users to easily interact with ChatGPT through custom commands and shortcut keys, enabling tasks such as text rephrasing, grammar correction, content expansion, and more. Atua offers effortless text selection and processing, conversation history saving, and limitless use cases for ChatGPT across various domains. The tool ensures user privacy by storing data locally and not monitoring or sending any analytics.

Chad AI is an AI-powered chatbot application that leverages advanced neural networks like GPT-4o, Midjourney, Stable Diffusion, and Dall-E to provide users with quick and efficient responses in Russian. The application supports text and code processing, content creation, image generation, and text improvement. It offers a range of subscription plans to cater to different user needs and preferences, ensuring seamless access to cutting-edge AI technologies for various tasks.

Torq AI is an advanced productivity assistant powered by ChatGPT, designed to revolutionize productivity through AI assistance. It offers features such as efficient email communication, powerful text processing, integrated ChatGPT and Google searches, and data insights. Torq AI aims to make users 200x more productive by providing seamless and interactive AI-powered solutions.

Macaify is an AI application designed to bring AI capabilities to any Mac app with just a shortcut key. Users can unlock various AI smarts, customize predefined robots, and access over 1000 robot templates for text processing, code generation, and automation tasks. The application allows for mouse-free operation and offers features like generating images, searching images, converting text to speech files, bridging system and internet interfaces, processing web URLs, and searching the latest internet content. Macaify is free to use, with different pricing plans offering additional AI capabilities and support.

GPT-4O is a free all-in-one OpenAI tool that offers advanced AI capabilities for online solutions. It enhances productivity, creativity, and problem-solving by providing real-time text, vision, and audio processing. With features like instantaneous interaction, integrated multimodal processing, and advanced emotion detection, GPT-4O revolutionizes user experiences across various industries. Its broad accessibility democratizes access to cutting-edge AI technology, empowering users globally.

Rizemail is an AI-powered email summarization tool that helps users quickly get to the core of their unread newsletters, long email threads, and cluttered commercial communications. By forwarding an email to [email protected], the tool uses AI to summarize the content and returns the key information you need, all within your inbox. Rizemail aims to save users time by providing fast and secure email summarization services, with a focus on user privacy and convenience.

Medallia is an AI-powered real-time text analytics software that empowers organizations to derive actionable insights from customer interactions across various channels. With a focus on democratizing text analytics, Medallia's platform offers comprehensive feedback capture, role-based reporting, AI & analytics capabilities, integrations, and enterprise-grade security. The software enables users to uncover essential insights, easily share data, and expand programs with flexible pricing. Medallia caters to industries such as automotive, healthcare, retail, and technology, providing end-to-end customer experience management solutions and employee listening and activation tools.

ChatGPT4o is OpenAI's latest flagship model, capable of processing text, audio, image, and video inputs, and generating corresponding outputs. It offers both free and paid usage options, with enhanced performance in English and coding tasks, and significantly improved capabilities in processing non-English languages. ChatGPT4o includes built-in safety measures and has undergone extensive external testing to ensure safety. It supports multimodal inputs and outputs, with advantages in response speed, language support, and safety, making it suitable for various applications such as real-time translation, customer support, creative content generation, and interactive learning.

LLM Quality Beefer-Upper is an AI tool designed to enhance the quality and productivity of LLM responses by automating critique, reflection, and improvement. Users can generate multi-agent prompt drafts, choose from different quality levels, and upload knowledge text for processing. The application aims to maximize output quality by utilizing the best available LLM models in the market.

The AI Bank Statement Converter is an industry-leading tool designed for accountants and bookkeepers to extract data from financial documents using artificial intelligence technology. It offers features such as automated data extraction, integration with accounting software, enhanced security, streamlined workflow, and multi-format conversion capabilities. The tool revolutionizes financial document processing by providing high-precision data extraction, tailored for accounting businesses, and ensuring data security through bank-level encryption. It also offers Intelligent Document Processing (IDP) using AI and machine learning techniques to process structured, semi-structured, and unstructured documents.

GPTKit is a free AI text generation detection tool that utilizes six different AI-based content detection techniques to identify and classify text as either human- or AI-generated. It provides reports on the authenticity and reality of the analyzed content, with an accuracy of approximately 93%. The first 2048 characters in every request are free, and users can register for free to get 2048 characters/request.

Rytar is an AI-powered writing platform that helps users generate unique, relevant, and high-quality content in seconds. It uses state-of-the-art AI writing models to generate articles, blog posts, website pages, and other types of content from just a headline or a few keywords. Rytar is designed to help users save time and effort in the content creation process, and to produce content that is optimized for SEO and readability.

VoiceCanvas is an advanced AI-powered multilingual voice synthesis and voice cloning platform that offers instant text-to-speech in over 40 languages. It utilizes cutting-edge AI technology to provide high-quality voice synthesis with natural intonation and rhythm, along with personalized voice cloning for more human-like AI speech. Users can upload voice samples, have AI analyze voice features, generate personalized AI voice models, input text for conversion, and apply the cloned AI voice model to generate natural voice speech. VoiceCanvas is highly praised by language learners, content creators, teachers, business owners, voice actors, and educators for its exceptional voice quality, multiple language support, and ease of use in creating voiceovers, learning materials, and podcast content.

Yek is a fast Rust-based tool designed to read text-based files in a repository or directory, chunk them, and serialize them for Large Language Models (LLM) consumption. It utilizes .gitignore rules to skip unwanted files, Git history to infer important files, and additional ignore patterns. Yek splits content into chunks based on token count or byte size, supports processing multiple directories, and can stream content when output is piped. It is configurable via a 'yek.toml' file and prioritizes important files at the end of the output.

The `unstructured` library provides open-source components for ingesting and pre-processing images and text documents, such as PDFs, HTML, Word docs, and many more. The use cases of `unstructured` revolve around streamlining and optimizing the data processing workflow for LLMs. `unstructured` modular functions and connectors form a cohesive system that simplifies data ingestion and pre-processing, making it adaptable to different platforms and efficient in transforming unstructured data into structured outputs.

The LLM-Aided OCR Project is an advanced system that enhances Optical Character Recognition (OCR) output by leveraging natural language processing techniques and large language models. It offers features like PDF to image conversion, OCR using Tesseract, error correction using LLMs, smart text chunking, markdown formatting, duplicate content removal, quality assessment, support for local and cloud-based LLMs, asynchronous processing, detailed logging, and GPU acceleration. The project provides detailed technical overview, text processing pipeline, LLM integration, token management, quality assessment, logging, configuration, and customization. It requires Python 3.12+, Tesseract OCR engine, PDF2Image library, PyTesseract, and optional OpenAI or Anthropic API support for cloud-based LLMs. The installation process involves setting up the project, installing dependencies, and configuring environment variables. Users can place a PDF file in the project directory, update input file path, and run the script to generate post-processed text. The project optimizes processing with concurrent processing, context preservation, and adaptive token management. Configuration settings include choosing between local or API-based LLMs, selecting API provider, specifying models, and setting context size for local LLMs. Output files include raw OCR output and LLM-corrected text. Limitations include performance dependency on LLM quality and time-consuming processing for large documents.

ParaGenie is a script designed to automate the process of paraphrasing articles using the undetectable.ai platform. It allows users to convert lengthy content into unique paraphrased versions by splitting the input text into manageable chunks and processing each chunk individually. The script offers features such as automated paraphrasing, multi-file support for TXT, DOCX, and PDF formats, customizable chunk splitting methods, Gmail-based registration for seamless paraphrasing, purpose-specific writing support, readability level customization, anonymity features for user privacy, error handling and recovery, and output management for easy access and organization of paraphrased content.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

Text2Text is a comprehensive language modeling toolkit that offers a wide range of functionalities for text processing and generation. It provides tools for tokenization, embedding, TF-IDF calculations, BM25 scoring, indexing, translation, data augmentation, distance measurement, training/finetuning models, language identification, and serving models via a web server. The toolkit is designed to be user-friendly and efficient, offering a variety of features for natural language processing tasks.

llm-gemini is a plugin that provides API access to Google's Gemini models. It allows users to configure and run various Gemini models for tasks such as generating text, processing images, transcribing audio, and executing code. The plugin supports multi-modal inputs including images, audio, and video, and can output JSON objects. Additionally, it enables chat interactions with the model and supports different embedding models for text processing. Users can also run similarity searches on embedded data. The plugin is designed to work in conjunction with LLM and offers extensive documentation for development and usage.

AnyGPT is a unified multimodal language model that utilizes discrete representations for processing various modalities like speech, text, images, and music. It aligns the modalities for intermodal conversions and text processing. AnyInstruct dataset is constructed for generative models. The model proposes a generative training scheme using Next Token Prediction task for training on a Large Language Model (LLM). It aims to compress vast multimodal data on the internet into a single model for emerging capabilities. The tool supports tasks like text-to-image, image captioning, ASR, TTS, text-to-music, and music captioning.

Trafilatura is a Python package and command-line tool for gathering text on the Web and simplifying the process of turning raw HTML into structured, meaningful data. It includes components for web crawling, downloads, scraping, and extraction of main texts, metadata, and comments. The tool aims to focus on actual content, avoid noise, and make sense of data and metadata. It is robust, fast, and widely used by companies and institutions. Trafilatura outperforms other libraries in text extraction benchmarks and offers various features like support for sitemaps, parallel processing, configurable extraction of key elements, multiple output formats, and optional add-ons. The tool is actively maintained with regular updates and comprehensive documentation.

llms.txt Generator is a tool designed for LLM (Legal Language Model) training and inference. It crawls websites to combine content into consolidated text files, offering both standard and full versions. Users can access the tool through a web interface or API without requiring an API key. Powered by Firecrawl for web crawling and GPT-4-mini for text processing.

sitefetch is a tool designed to fetch an entire website and save it as a text file, primarily intended for use with AI models. It provides a simple and efficient way to download website content for further analysis or processing. The tool supports fetching multiple pages concurrently and offers both one-off and global installation options for ease of use.

PostgresML is a powerful Postgres extension that seamlessly combines data storage and machine learning inference within your database. It enables running machine learning and AI operations directly within PostgreSQL, leveraging GPU acceleration for faster computations, integrating state-of-the-art large language models, providing built-in functions for text processing, enabling efficient similarity search, offering diverse ML algorithms, ensuring high performance, scalability, and security, supporting a wide range of NLP tasks, and seamlessly integrating with existing PostgreSQL tools and client libraries.

Awesome Khmer Language is a comprehensive collection of resources for the Khmer language, including tools, datasets, research papers, projects/models, blogs/slides, and miscellaneous items. It covers a wide range of topics related to Khmer language processing, such as character normalization, word segmentation, part-of-speech tagging, optical character recognition, text-to-speech, and more. The repository aims to support the development of natural language processing applications for the Khmer language by providing a diverse set of resources and tools for researchers and developers.

Scrapling is a high-performance, intelligent web scraping library for Python that automatically adapts to website changes while significantly outperforming popular alternatives. For both beginners and experts, Scrapling provides powerful features while maintaining simplicity. It offers features like fast and stealthy HTTP requests, adaptive scraping with smart element tracking and flexible selection, high performance with lightning-fast speed and memory efficiency, and developer-friendly navigation API and rich text processing. It also includes advanced parsing features like smart navigation, content-based selection, handling structural changes, and finding similar elements. Scrapling is designed to handle anti-bot protections and website changes effectively, making it a versatile tool for web scraping tasks.

LLM-Minutes-of-Meeting is a project showcasing NLP & LLM's capability to summarize long meetings and automate the task of delegating Minutes of Meeting(MoM) emails. It converts audio/video files to text, generates editable MoM, and aims to develop a real-time python web-application for meeting automation. The tool features keyword highlighting, topic tagging, export in various formats, user-friendly interface, and uses Celery for asynchronous processing. It is designed for corporate meetings, educational institutions, legal and medical fields, accessibility, and event coverage.

ClipTurbo is an AI-driven short video creation tool designed to help individuals become popular short video creators and easily monetize their videos. It utilizes AI for text processing, translation, icon matching, and TTS voice synthesis, and renders videos using manim. The tool offers various templates for scenes and supports multiple platforms including Windows, with plans for a MacOS client and a web version. The repository is used to release ClipTurbo's versions and collect user feedback via Github Issues. The decision to open-source ClipTurbo in the future depends on community feedback.

AI Chunking is a powerful Python library for semantic document chunking and enrichment using AI. It provides intelligent document chunking capabilities with various strategies to split text while preserving semantic meaning, particularly useful for processing markdown documentation. The library offers multiple chunking strategies such as Recursive Text Splitting, Section-based Semantic Chunking, and Base Chunking. Users can configure chunk sizes, overlap, and support various text formats. The tool is easy to extend with custom chunking strategies, making it versatile for different document processing needs.

AgentScope is a multi-agent platform designed to empower developers to build multi-agent applications with large-scale models. It features three high-level capabilities: Easy-to-Use, High Robustness, and Actor-Based Distribution. AgentScope provides a list of `ModelWrapper` to support both local model services and third-party model APIs, including OpenAI API, DashScope API, Gemini API, and ollama. It also enables developers to rapidly deploy local model services using libraries such as ollama (CPU inference), Flask + Transformers, Flask + ModelScope, FastChat, and vllm. AgentScope supports various services, including Web Search, Data Query, Retrieval, Code Execution, File Operation, and Text Processing. Example applications include Conversation, Game, and Distribution. AgentScope is released under Apache License 2.0 and welcomes contributions.

AI Coding Assistant is a free and open-source IntelliJ plugin that leverages cutting-edge Language Model APIs to enhance developers' coding experience. It seamlessly integrates with various leading LLM APIs, offers an intuitive toolbar UI, and allows granular control over API requests. With features like Code & Patch Chat, Planning with AI Agents, Markdown visualization, and versatile text processing capabilities, this tool aims to streamline coding workflows and boost productivity.

BasicLingua is a Python library that provides functionalities for linguistic tasks such as tokenization, stemming, lemmatization, and many others. It is based on the Gemini Language Model, which has demonstrated promising results in dealing with text data. BasicLingua can be used as an API or through a web demo. It is available under the MIT license and can be used in various projects.

Traitement texte, image, vidéo, génération image

Generate a Structured description in typescript format from the image and generate an image from that description.　and OCR

input text and outputs scrambled readable text

With this bot process of making notes will be easier. Send your text and wait for the result

Generate and explain regex patterns from your description, it support English and Chinese.

What is Alien lyrics meaning? Alien singer：P. Sears, J. Sears，album：Modern Times ，album_time：1981. Click The LINK For More ↓↓↓

A specialist in crafting and explaining regex patterns.

Expert in crafting and explaining grep commands.

Efficient image processing with text overlays and memory reset.

Full step by step guidance and copy & paste text for developing assistants with specific use cases.

Translates CN to EN for processing, outputs in CN.

Transforms complex texts into simple, understandable language.

Open Domain Relation Extractor

An editor that refines and enhances your writing.

Compares and reports differences in text files

Visual and friendly guide for image processing.

Converts graph triples to clear text, no assumptions.

A text and content creation AI.

📖 Political speeches for patterns and biases.

Assists with text extraction from PDFs