Best AI tools for< Ocr Images >

Fluttydev is an online platform that offers a variety of automation tools, scripts, PDFs, premium prompts, chatbot tools, and AI tools. It provides products like DALL-E Bulk Image Generator, OpenAI API Validation Tool, Bulk Text to Speech Audio File, Carousel Post Generator, News Image Creator, Social Media BOT, Python Script for Images OCR, and OpenAI Fine-Tuner Web App. These tools cater to users looking to automate tasks, generate content, analyze images, validate API access, and more.

Receipt OCR API by ReceiptUp is an advanced tool for precise data extraction from receipt and invoice images. The API leverages OCR and AI technology to accurately extract total amounts, taxes, dates, and merchant information, streamlining financial operations. It supports over 50 languages, multiple image formats, and offers affordable pricing. Users can easily integrate the API into their software systems for efficient receipt management and enhanced business analytics.

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.

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.

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.

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.

VoiceGPT is an Android app that provides a voice-based interface to interact with AI language models like ChatGPT, Bing AI, and Bard. It offers features such as unlimited free messages, voice input and output in 67+ languages, a floating bubble for easy switching between apps, OCR text recognition, code execution, image generation with DALL-E 2, and support for ChatGPT Plus accounts. VoiceGPT is designed to be accessible for users with visual impairments, dyslexia, or other conditions, and it can be set as the default assistant to be activated hands-free with a custom hotword.

AI Image Translator is an advanced tool that utilizes artificial intelligence to translate images into over 130 languages while preserving the original text formats. It combines 99% AI automation with 1% manual fine-tuning to ensure high-quality translated images. The tool offers features like AI-powered accurate text OCR, seamless background inpainting, accurate text translation, preservation of original text format, and more. Users can easily upload images, get automatic text recognition and translation, fine-tune text formatting, and download the translated images. AI Image Translator is suitable for various tasks like translating product images, screenshots, advertisements, technical diagrams, manuals, and promotion images for global audiences.

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.

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.

Be My Eyes is an AI-powered visual assistance application that connects blind and low-vision users with volunteers and companies worldwide. Users can request live video support, receive assistance through artificial intelligence, and access professional support from partners. The app aims to improve accessibility for individuals with visual impairments by providing a platform for real-time assistance and support.

PicNotes is a web-based image-to-text converter that can convert messy images into summaries, text, or explanations. It supports handwritten papers, medical reports, and other types of images. The tool is easy to use: simply upload an image and choose the desired output format. PicNotes will then process the image and return the results within seconds.

Pen2txt is an AI-powered tool that converts handwritten notes and sketches into digital text and images. It uses advanced image recognition and natural language processing to accurately transcribe handwriting, making it easy to digitize and share your notes. Pen2txt is designed to be user-friendly and accessible, with a simple interface and a variety of features to help you get the most out of your notes.

LightPDF is an AI-powered, free online PDF editor, converter, and reader. It offers a wide range of PDF tools, including the ability to convert PDFs to and from other formats, edit PDFs, add watermarks, split and merge PDFs, rotate PDFs, annotate PDFs, optimize PDFs, compress PDFs, perform OCR on PDFs, and protect PDFs. LightPDF also offers a variety of AI-powered features, such as an AI chatbot that can answer questions about documents and an AI-powered OCR engine that can convert scanned PDFs and images to text.

Scanner Go is a free PDF tool that offers easy and high-quality scanning capabilities. It allows users to quickly scan various types of documents, images, and books, and convert them to PDF format. The tool features powerful OCR technology for extracting text from PDFs and images, as well as options for managing, editing, printing, and sharing documents. Users can also access their scanned documents from any device and store them securely in the cloud. Scanner Go simplifies the process of digitizing documents and offers a range of popular tools for PDF conversion and optimization.

Eden AI is an AI tool designed to make AI easy for product builders. It allows users to orchestrate multiple AI models to fit their business needs. The platform offers a wide range of AI technologies such as Generative AI, Image Analysis, Text Analysis, Video Content Analysis, OCR/Document Parsing, and Speech Transcription. Users can access various AI APIs, build workflows, and integrate AI models seamlessly. Eden AI aims to simplify the process of building AI solutions for businesses by providing standardized APIs, easy integration, and cost-effective solutions.

Geleza is an AI-powered educational tool that revolutionizes content creation for students, educators, and content creators. It offers features such as interactive PDF chat, math solutions, custom image creation, text-to-speech, smart coding, OCR, and dynamic question generation. Geleza simplifies the process of generating high-quality educational content effortlessly, saving time and cost.

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.

Picture Translate is an online tool that allows users to translate text from images for free. It leverages advanced Optical Character Recognition (OCR) technology to accurately identify and translate text from images, including low-resolution images and handwritten notes. The tool supports multilingual translation, real-time results, and cross-platform compatibility, making it ideal for various applications such as travel, education, business, healthcare, and more. Picture Translate aims to break down language barriers and provide a user-friendly experience for seamless image translation.

Reedr is an AI-powered browser automation tool that simplifies scraping at scale. It offers features such as text recognition (OCR), custom headers, CAPTCHA solver, and proxying for efficient data extraction. With Reedr, users can automate tasks, generate reports, and monitor running tasks in real-time. The tool utilizes AI capabilities to convert visible text and images on web pages into formatted data, supporting various data processing needs. Additionally, Reedr provides customized real-time reporting with API endpoints for different reporting teams, enabling data export in formats like CSV, XLSX, JSON, and YAML. The tool prioritizes industry-leading compliance, adhering to data protection laws and privacy regulations like GDPR.

MouseTooltipTranslator is a Chrome extension that allows users to translate any text on a webpage by simply hovering over it. It supports both Google Translate and Bing Translate, and can also be used to listen to the pronunciation of words and phrases. Additionally, the extension can be used to translate text in input boxes and highlighted text, and to display translated tooltips for PDFs and YouTube videos. It also supports OCR, allowing users to translate text in images by holding down the left shift key and hovering over the image.

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.

Whispering Tiger UI is a Native-UI tool designed to control the Whispering Tiger application, a free and Open-Source tool that can listen/watch to audio streams or in-game images on your machine and provide transcription or translation to a web browser using Websockets or over OSC. It features a Native-UI for Windows, easy access to all Whispering Tiger features including transcription, translation, text-to-speech, and in-game image recognition. The tool supports loopback audio device, configuration saving/loading, plugin support for additional features, and auto-update functionality. Users can create profiles, configure audio devices, select A.I. devices for speech-to-text, and install/manage plugins for extended functionality.

LLMGA (Multimodal Large Language Model-based Generation Assistant) is a tool that leverages Large Language Models (LLMs) to assist users in image generation and editing. It provides detailed language generation prompts for precise control over Stable Diffusion (SD), resulting in more intricate and precise content in generated images. The tool curates a dataset for prompt refinement, similar image generation, inpainting & outpainting, and visual question answering. It offers a two-stage training scheme to optimize SD alignment and a reference-based restoration network to alleviate texture, brightness, and contrast disparities in image editing. LLMGA shows promising generative capabilities and enables wider applications in an interactive manner.

SoM-LLaVA is a new data source and learning paradigm for Multimodal LLMs, empowering open-source Multimodal LLMs with Set-of-Mark prompting and improved visual reasoning ability. The repository provides a new dataset that is complementary to existing training sources, enhancing multimodal LLMs with Set-of-Mark prompting and improved general capacity. By adding 30k SoM data to the visual instruction tuning stage of LLaVA, the tool achieves 1% to 6% relative improvements on all benchmarks. Users can train SoM-LLaVA via command line and utilize the implementation to annotate COCO images with SoM. Additionally, the tool can be loaded in Huggingface for further usage.

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.

Swift OCR is a powerful tool for extracting text from PDF files using OpenAI's GPT-4 Turbo with Vision model. It offers flexible input options, advanced OCR processing, performance optimizations, structured output, robust error handling, and scalable architecture. The tool ensures accurate text extraction, resilience against failures, and efficient handling of multiple requests.

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.

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.

MiniCPM-V is a series of end-side multimodal LLMs designed for vision-language understanding. The models take image and text inputs to provide high-quality text outputs. The series includes models like MiniCPM-Llama3-V 2.5 with 8B parameters surpassing proprietary models, and MiniCPM-V 2.0, a lighter model with 2B parameters. The models support over 30 languages, efficient deployment on end-side devices, and have strong OCR capabilities. They achieve state-of-the-art performance on various benchmarks and prevent hallucinations in text generation. The models can process high-resolution images efficiently and support multilingual capabilities.

ddddocr is a Rust version of a simple OCR API server that provides easy deployment for captcha recognition without relying on the OpenCV library. It offers a user-friendly general-purpose captcha recognition Rust library. The tool supports recognizing various types of captchas, including single-line text, transparent black PNG images, target detection, and slider matching algorithms. Users can also import custom OCR training models and utilize the OCR API server for flexible OCR result control and range limitation. The tool is cross-platform and can be easily deployed.

Sparrow is an innovative open-source solution for efficient data extraction and processing from various documents and images. It seamlessly handles forms, invoices, receipts, and other unstructured data sources. Sparrow stands out with its modular architecture, offering independent services and pipelines all optimized for robust performance. One of the critical functionalities of Sparrow - pluggable architecture. You can easily integrate and run data extraction pipelines using tools and frameworks like LlamaIndex, Haystack, or Unstructured. Sparrow enables local LLM data extraction pipelines through Ollama or Apple MLX. With Sparrow solution you get API, which helps to process and transform your data into structured output, ready to be integrated with custom workflows. Sparrow Agents - with Sparrow you can build independent LLM agents, and use API to invoke them from your system. **List of available agents:** * **llamaindex** - RAG pipeline with LlamaIndex for PDF processing * **vllamaindex** - RAG pipeline with LLamaIndex multimodal for image processing * **vprocessor** - RAG pipeline with OCR and LlamaIndex for image processing * **haystack** - RAG pipeline with Haystack for PDF processing * **fcall** - Function call pipeline * **unstructured-light** - RAG pipeline with Unstructured and LangChain, supports PDF and image processing * **unstructured** - RAG pipeline with Weaviate vector DB query, Unstructured and LangChain, supports PDF and image processing * **instructor** - RAG pipeline with Unstructured and Instructor libraries, supports PDF and image processing. Works great for JSON response generation

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.

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.

**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.

Open-DocLLM is an open-source project that addresses data extraction and processing challenges using OCR and LLM technologies. It consists of two main layers: OCR for reading document content and LLM for extracting specific content in a structured manner. The project offers a larger context window size compared to JP Morgan's DocLLM and integrates tools like Tesseract OCR and Mistral for efficient data analysis. Users can run the models on-premises using LLM studio or Ollama, and the project includes a FastAPI app for testing purposes.

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.

AnyLabeling is a tool for effortless data labeling with AI support from YOLO and Segment Anything. It combines features from LabelImg and Labelme with an improved UI and auto-labeling capabilities. Users can annotate images with polygons, rectangles, circles, lines, and points, as well as perform auto-labeling using YOLOv5 and Segment Anything. The tool also supports text detection, recognition, and Key Information Extraction (KIE) labeling, with multiple language options available such as English, Vietnamese, and Chinese.

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.

MME-RealWorld is a benchmark designed to address real-world applications with practical relevance, featuring 13,366 high-resolution images and 29,429 annotations across 43 tasks. It aims to provide substantial recognition challenges and overcome common barriers in existing Multimodal Large Language Model benchmarks, such as small data scale, restricted data quality, and insufficient task difficulty. The dataset offers advantages in data scale, data quality, task difficulty, and real-world utility compared to existing benchmarks. It also includes a Chinese version with additional images and QA pairs focused on Chinese scenarios.

OCR specialist, transcribes images to text within markdown blocks.

Optimized OCR for Handwritten Notebooks, up to 10 image transcript copy w/1-click. No text prompt necessary. Reads journals, reports, notes. All handwriting transcribed verbatim, then text summarized, graphic image features described. Ask to change any behavior.

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

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

Converts LaTeX images to text, with explanations.

Scans and transcribes images into documents, offers downloadable copies in a document and offers to translate into different languages

Expert in extracting and transcribing text from images.

Converts Excel screenshots into editable files.

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

Formatted text from screenshot

Digitizes handwritten texts and offers output as a PDF file.

I create structured filenames for PDFs from OCR text.

Portuguese OCR for medical test coding, outputs in table format.

Expert in OCR and document formatting, with a focus on professionalism.

Traductor de documentos en foto al idioma deseado

Assists with text extraction from PDFs

Wizard to business card photos to CSV files for Google Contacts.

Ayuda a descifrar la indescifrable caligrafía de las recetas de los médicos