Best AI tools for< Extract Text From Images >

Picture to Text Converter is an online tool that uses Optical Character Recognition (OCR) technology to extract text from images. It can process various image formats like JPG, PNG, GIF, scanned documents (PDFs), and even photos taken with your phone's camera. The extracted text can be copied to the clipboard or downloaded as a TXT file. Picture to Text Converter is free to use and does not require any registration or installation. It is a convenient and efficient way to convert images into editable text.

Woy AI Tools is an online tool that offers free image to text conversion with over 99% accuracy and automatic recognition of more than 100 languages. Users can easily upload an image and receive the textual information contained within it. The tool supports multiple languages, prioritizes user privacy and data protection, has a simple and user-friendly interface, and is available for free usage. It utilizes advanced machine learning and OCR technology to continuously optimize recognition algorithms for clear and high-resolution images.

Image to Prompt is an online AI tool that allows users to upload images and convert them into detailed text prompts using advanced AI algorithms. The tool ensures high accuracy and relevance in generating prompts, with a user-friendly interface for easy conversion. Privacy protection is prioritized, as all uploaded images are securely processed and deleted after prompt generation. Users can follow three simple steps to convert their images into prompts quickly and efficiently.

TextUnbox is an AI-powered tool that allows users to extract text from images, generate images from text descriptions, translate text, remove image backgrounds, and more. It supports over 20 languages and can be used in the browser or integrated into custom solutions using its REST API.

Picture To Summary AI is a powerful online tool that leverages cutting-edge AI technology to analyze images and generate insightful summaries or descriptions. Users can upload images and receive concise and accurate summaries, extract text from images, generate captions for social media posts, and customize prompts to tailor the output. The application aims to simplify communication and understanding by providing quick and efficient image analysis solutions.

GrabText is an online OCR tool that allows users to convert handwritten or printed text from photos, graphics, or documents into editable text. It uses ChatGPT to automatically correct spelling, grammar, and other illegal writings. The tool also supports math equations and offers flexible output options such as txt, latex, doc, and pdf.

Picture To Summary AI is an online tool that leverages cutting-edge AI technology to provide summaries from images or pictures. Users can upload images and receive concise and accurate summaries generated by AI, extract text from images, generate captions for social media posts, and customize prompts to tailor descriptions. The tool aims to simplify communication and understanding of image content through AI-driven analysis.

GetSearchablePDF is an online tool that allows users to convert scanned or image-based PDF documents into searchable PDFs. With its advanced OCR (Optical Character Recognition) technology, the tool accurately extracts text from images, making the resulting PDFs easy to search, edit, and share. The process is simple and straightforward: users simply connect their Dropbox or OneDrive account, drag and drop their PDF files into the designated folder, and the tool automatically converts them into searchable PDFs.

Winston AI is a leading AI content detection tool designed to help users identify AI-generated text from ChatGPT, GPT-4, Google Bard, and other large language models. It offers a range of features, including AI content detection, plagiarism checking, readability scoring, and OCR (Optical Character Recognition) technology for extracting text from scanned documents or pictures. Winston AI is committed to providing accurate and reliable AI detection, with a 99.98% accuracy rate and continuous updates to keep up with the latest advancements in AI writing tools.

Simple Metrics' Gemini AI for Google Sheets is a powerful tool that allows users to harness the power of AI directly within Google Sheets. With a suite of 10 AI formulas and the ability to perform full sheet analysis, Gemini AI empowers users to automate tasks, gain valuable insights, and streamline their workflows. Its user-friendly interface and customizable settings make it accessible to users of all levels, while its free tier ensures that everyone can experience the benefits of AI in Google Sheets.

Yatter AI is a powerful AI tool available on WhatsApp and Telegram, designed to enhance productivity, content writing, and career growth. It leverages top AI models and technologies from companies like ChatGPT, Google Gemini, Meta AI, and Groq AI to provide users with advanced features such as voice AI chat messaging, image detection, reminder scheduling, real-time weather updates, multilingual conversation support, and more. Yatter AI revolutionizes communication and information retrieval, offering seamless interactions and personalized experiences for users worldwide.

Swiftask is an all-in-one AI Assistant designed to enhance individual and team productivity and creativity. It integrates a range of AI technologies, chatbots, and productivity tools into a cohesive chat interface. Swiftask offers features such as generating text, language translation, creative content writing, answering questions, extracting text from images and PDFs, table and form extraction, audio transcription, speech-to-text conversion, AI-based image generation, and project management capabilities. Users can benefit from Swiftask's comprehensive AI solutions to work smarter and achieve more.

FileDrop is a file or document manager that allows you to drag and drop files into a document with automatic linking and save them to Google Drive. It also offers features like OCR, translation, and AI integration. With FileDrop, you can easily insert, save, and link files in Google Sheets cells, Docs, and Slides.

Extractify.co is a website that offers a range of text extraction services. It allows users to extract text from various sources such as images, PDFs, and websites. The platform uses advanced algorithms to accurately extract and convert text into editable formats. Users can easily copy, edit, and save the extracted text for their needs. Extractify.co provides a user-friendly interface and supports multiple languages, making it a versatile tool for text extraction tasks.

ChartAI is an AI tool that allows users to customize bar charts from screenshots. Users can upload their chart images, and ChartAI's visual recognition technology extracts the data to recreate the chart. Users can adjust the style, add or remove data, and change the chart type effortlessly. The tool simplifies the process of creating charts and provides quick updates based on user requests.

Marvin is a lightweight toolkit for building natural language interfaces that are reliable, scalable, and easy to trust. It provides a variety of AI functions for text, images, audio, and video, as well as interactive tools and utilities. Marvin is designed to be easy to use and integrate, and it can be used to build a wide range of applications, from simple chatbots to complex AI-powered systems.

IconifyAI is an AI-powered tool that helps users create unique app icons in seconds. With IconifyAI, users can describe their desired icon using a few short words, and the AI will generate a 100% unique icon that matches their specifications. IconifyAI offers a variety of styles and colors to choose from, and users can even extract the color palette from their icon to use in other branding materials. IconifyAI is trusted by over 1600 customers and has been featured in publications such as TechCrunch and Forbes.

Assistante.App is an all-in-one platform for generating AI content and receiving advice within minutes, 24/7. It offers unlimited free access without the need for a credit card. Users can chat with AI experts to get precise and instant responses, increase productivity, create custom chatbots, transform ideas into stunning images, choose and personalize AI models, recognize images, convert videos into captivating articles, provide voiceovers, edit text, extract key information from files, and receive relevant information and opinions for web pages. The platform serves over 5,000 active users, generates over 4 million words and 200,000 images per month, and welcomes over 100 new users daily.

Spiral is an AI-powered tool designed to automate 80% of repeat writing, thinking, and creative tasks. It allows users to create Spirals to accelerate any writing task by training it on examples to generate outputs in their desired voice and style. The tool includes a powerful Prompt Builder to help users work faster and smarter, transforming content into tweets, PRDs, proposals, summaries, and more. Spiral extracts patterns from text to deduce voice and style, enabling users to iterate on outputs until satisfied. Users can share Spirals with their team to maximize quality and streamline processes.

Askeygeek.com is a website that provides a variety of AI tools for productivity. These tools can be used to generate creative content, convert written content into audio, transcribe audio recordings, extract relevant information from documents, and translate content into different languages. Askeygeek.com also offers a variety of free web tools, including SEO tools, website development tools, and AI-powered tools like UberTTS, UberScribe, and UberCreate.

A Telegram bot for accessing Google Gemini, MS Bing, etc. The bot responds to the keywords 'bot' and 'google' to provide information. It can handle voice messages, text files, images, and links. It can generate images based on descriptions, extract text from images, and summarize content. The bot can interact with various AI models and perform tasks like voice control, text-to-speech, and text recognition. It supports long texts, large responses, and file transfers. Users can interact with the bot using voice commands and text. The bot can be customized for different AI providers and has features for both users and administrators.

Extractor is an AI-powered data extraction library for Laravel that leverages OpenAI's capabilities to effortlessly extract structured data from various sources, including images, PDFs, and emails. It features a convenient wrapper around OpenAI Chat and Completion endpoints, supports multiple input formats, includes a flexible Field Extractor for arbitrary data extraction, and integrates with Textract for OCR functionality. Extractor utilizes JSON Mode from the latest GPT-3.5 and GPT-4 models, providing accurate and efficient data extraction.

Extractous offers a fast and efficient solution for extracting content and metadata from various document types such as PDF, Word, HTML, and many other formats. It is built with Rust, providing high performance, memory safety, and multi-threading capabilities. The tool eliminates the need for external services or APIs, making data processing pipelines faster and more efficient. It supports multiple file formats, including Microsoft Office, OpenOffice, PDF, spreadsheets, web documents, e-books, text files, images, and email formats. Extractous provides a clear and simple API for extracting text and metadata content, with upcoming support for JavaScript/TypeScript. It is free for commercial use under the Apache 2.0 License.

CLIPPyX is a powerful system-wide image search and management tool that offers versatile search options to find images based on their content, text, and visual similarity. With advanced features, users can effortlessly locate desired images across their entire computer's disk(s), regardless of their location or file names. The tool utilizes OpenAI's CLIP for image embeddings and text-based search, along with OCR for extracting text from images. It also employs Voidtools Everything SDK to list paths of all images on the system. CLIPPyX server receives search queries and queries collections of image embeddings and text embeddings to return relevant images.

Kazam 2.0 is a versatile tool for screen recording, broadcasting, capturing, and optical character recognition (OCR). It allows users to capture screen content, broadcast live over the internet, extract text from captured content, record audio, and use a web camera for recording. The tool supports full screen, window, and area modes, and offers features like keyboard shortcuts, live broadcasting with Twitch and YouTube, and tips for recording quality. Users can install Kazam on Ubuntu and use it for various recording and broadcasting needs.

NekoImageGallery is an online AI image search engine that utilizes the Clip model and Qdrant vector database. It supports keyword search and similar image search. The tool generates 768-dimensional vectors for each image using the Clip model, supports OCR text search using PaddleOCR, and efficiently searches vectors using the Qdrant vector database. Users can deploy the tool locally or via Docker, with options for metadata storage using Qdrant database or local file storage. The tool provides API documentation through FastAPI's built-in Swagger UI and can be used for tasks like image search, text extraction, and vector search.

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.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

AI Runner is a multi-modal AI interface that allows users to run open-source large language models and AI image generators on their own hardware. The tool provides features such as voice-based chatbot conversations, text-to-speech, speech-to-text, vision-to-text, text generation with large language models, image generation capabilities, image manipulation tools, utility functions, and more. It aims to provide a stable and user-friendly experience with security updates, a new UI, and a streamlined installation process. The application is designed to run offline on users' hardware without relying on a web server, offering a smooth and responsive user experience.

HuggingFists is a low-code data flow tool that enables convenient use of LLM and HuggingFace models. It provides functionalities similar to Langchain, allowing users to design, debug, and manage data processing workflows, create and schedule workflow jobs, manage resources environment, and handle various data artifact resources. The tool also offers account management for users, allowing centralized management of data source accounts and API accounts. Users can access Hugging Face models through the Inference API or locally deployed models, as well as datasets on Hugging Face. HuggingFists supports breakpoint debugging, branch selection, function calls, workflow variables, and more to assist users in developing complex data processing workflows.

The receipt-scanner repository is an AI-Powered Receipt and Invoice Scanner for Laravel that allows users to easily extract structured receipt data from images, PDFs, and emails within their Laravel application using OpenAI. It provides a light wrapper around OpenAI Chat and Completion endpoints, supports various input formats, and integrates with Textract for OCR functionality. Users can install the package via composer, publish configuration files, and use it to extract data from plain text, PDFs, images, Word documents, and web content. The scanned receipt data is parsed into a DTO structure with main classes like Receipt, Merchant, and LineItem.

Screen-pipe is a Rust + WASM tool that allows users to turn their screen into actions using Large Language Models (LLMs). It enables users to record their screen 24/7, extract text from frames, and process text and images for tasks like analyzing sales conversations. The tool is still experimental and aims to simplify the process of recording screens, extracting text, and integrating with various APIs for tasks such as filling CRM data based on screen activities. The project is open-source and welcomes contributions to enhance its functionalities and usability.

UltraSinger is a tool under development that automatically creates UltraStar.txt, midi, and notes from music. It pitches UltraStar files, adds text and tapping, creates separate UltraStar karaoke files, re-pitches current UltraStar files, and calculates in-game score. It uses multiple AI models to extract text from voice and determine pitch. Users should mention UltraSinger in UltraStar.txt files and only use it on Creative Commons licensed songs.

Panel Cleaner is a tool that uses machine learning to find text in images and generate masks to cover it up with high accuracy. It is designed to clean text bubbles without leaving artifacts, avoiding painting over non-text parts, and inpainting bubbles that can't be masked out. The tool offers various customization options, detailed analytics on the cleaning process, supports batch processing, and can run OCR on pages. It supports CUDA acceleration, multiple themes, and can handle bubbles on any solid grayscale background color. Panel Cleaner is aimed at saving time for cleaners by automating monotonous work and providing precise cleaning of text bubbles.

seemore is a vision language model developed in Pytorch, implementing components like image encoder, vision-language projector, and decoder language model. The model is built from scratch, including attention mechanisms and patch creation. It is designed for readability and hackability, with the intention to be improved upon. The implementation is based on public publications and borrows attention mechanism from makemore by Andrej Kapathy. The code was developed on Databricks using a single A100 for compute, and MLFlow is used for tracking metrics. The tool aims to provide a simplistic version of vision language models like Grok 1.5/GPT-4 Vision, suitable for experimentation and learning.

**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.

E2M is a Python library that can parse and convert various file types into Markdown format. It supports the conversion of multiple file formats, including doc, docx, epub, html, htm, url, pdf, ppt, pptx, mp3, and m4a. The ultimate goal of the E2M project is to provide high-quality data for Retrieval-Augmented Generation (RAG) and model training or fine-tuning. The core architecture consists of a Parser responsible for parsing various file types into text or image data, and a Converter responsible for converting text or image data into Markdown format.

LARS is an application that enables users to run Large Language Models (LLMs) locally on their devices, upload their own documents, and engage in conversations where the LLM grounds its responses with the uploaded content. The application focuses on Retrieval Augmented Generation (RAG) to increase accuracy and reduce AI-generated inaccuracies. LARS provides advanced citations, supports various file formats, allows follow-up questions, provides full chat history, and offers customization options for LLM settings. Users can force enable or disable RAG, change system prompts, and tweak advanced LLM settings. The application also supports GPU-accelerated inferencing, multiple embedding models, and text extraction methods. LARS is open-source and aims to be the ultimate RAG-centric LLM application.

Tonic Validate is a framework for the evaluation of LLM outputs, such as Retrieval Augmented Generation (RAG) pipelines. Validate makes it easy to evaluate, track, and monitor your LLM and RAG applications. Validate allows you to evaluate your LLM outputs through the use of our provided metrics which measure everything from answer correctness to LLM hallucination. Additionally, Validate has an optional UI to visualize your evaluation results for easy tracking and monitoring.

AutoNode is a self-operating computer system designed to automate web interactions and data extraction processes. It leverages advanced technologies like OCR (Optical Character Recognition), YOLO (You Only Look Once) models for object detection, and a custom site-graph to navigate and interact with web pages programmatically. Users can define objectives, create site-graphs, and utilize AutoNode via API to automate tasks on websites. The tool also supports training custom YOLO models for object detection and OCR for text recognition on web pages. AutoNode can be used for tasks such as extracting product details, automating web interactions, and more.

Expert in extracting and transcribing text from images.

ce GPT va recevoir des images dans lesquelles il y a des questions QCM codingame ou Problem Solving sur les sujets : Java, Hibernate, Angular, Spring Boot, SQL. Il doit extraire le texte depuis l'image et répondre au question QCM le plus rapidement possible.

OCR specialist, transcribes images to text within markdown blocks.

Japanese OCR and text reader　日本語OCR　読み取り失敗文字の修復機能つき。テスト中

写真から情報をJSONに変換

Expert in full-scale app development, coding, and OCR.

Converts Excel screenshots into editable files.

Formatted text from screenshot

Converts tweet screenshots to text

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

Assists with text extraction from PDFs

Assists with PDFs locally.

I create structured filenames for PDFs from OCR text.

Open Domain Relation Extractor

Magically turning text from emails, lists and website content into spreadsheet tables

Advanced web-to-PDF text analysis tool.

I provide detailed summaries, critiques, and inferences on articles, papers, transcripts, websites, and more. Just give me text, a URL, or file to digest.

Takes in any text and extracts the wisdom from it like you spent 3 hours taking handwritten notes.

Nyimpulkeun sareng nimba poin konci tina téks, artikel, video, dokumén sareng seueur deui

专注于从剧本文本提取高光片段