Best AI tools for< Recognize Handwritten Text >

Quick, Draw! is a game built with machine learning. You draw, and a neural network tries to guess what you're drawing. Of course, it doesn't always work. But the more you play with it, the more it will learn. So far we have trained it on a few hundred concepts, and we hope to add more over time. We made this as an example of how you can use machine learning in fun ways.

Teachable Machine is a web-based tool that makes it easy to create custom machine learning models, even if you don't have any coding experience. With Teachable Machine, you can train models to recognize images, sounds, and poses. Once you've trained a model, you can export it to use in your own projects.

This AI Calorie Calculator is a free online tool that uses advanced AI algorithms to analyze the food in your uploaded images and estimate the total calorie count. It is designed to help you manage your diet and plan your meals effectively. The calculator is versatile and includes specialized features for children's calorie calculation, weight loss planning, athlete calorie estimation, sauna calorie estimation, and more. It also supports various dietary needs and counting methods globally.

Credly is a digital credentialing platform that helps organizations issue, manage, and track digital badges and certificates. It provides a network of over 3,500 certification, assessment, and training providers and employers, allowing earners to connect and grow through a catalog of over 90,000 learnings. Credly's solutions include digital credentialing, workforce insights, strategic workforce planning, and candidate assessment.

Alan AI is an advanced conversational AI platform that offers a wide range of AI solutions for various industries. It simplifies tasks, enhances business operations, and empowers sales strategies through AI technology. The platform provides features like question answering, semantic search, reporting, private data sources, and context awareness. With a focus on actionable AI, Alan AI aims to redefine learning and streamline decision-making processes. It offers a comprehensive suite of tools for developers, including technology architecture overview, integration, deployment, and analytics. Alan AI stands out for its innovative approach to AI reasoning, transparency, and control, making it a valuable asset for organizations seeking to leverage AI capabilities.

Ximilar Visual AI for Business is an AI tool that offers a comprehensive platform for image recognition and visual search solutions. It provides features such as image classification, regression, object detection, AI model combination, image annotation, and more. Users can easily build custom machine learning models without coding, access ready-to-use visual AI demos, and benefit from features like image upscaling, background removal, and color extraction. The platform caters to various industries including fashion, home decor, stock photos, collectibles, med & biotech, manufacturing, and real estate.

GoProfiles is an AI People Platform designed for employee engagement and recognition. It offers features such as employee profiles, peer recognition, rewards, org chart visualization, dynamic people data search, and an AI assistant for company questions and connections. The platform aims to foster a connected and engaged culture within organizations by providing tools for meaningful coworker interactions and employee insights.

Japan Computer Vision (JCV) is a leading technology company specializing in advanced computer vision solutions (image recognition). As a 100% subsidiary of SoftBank Corp., JCV focuses on security and innovation to provide cutting-edge technologies that transform industries and improve lives worldwide. Through solutions for smart buildings and smart retail, JCV enhances office environments, streamlines operations, improves hospitality in stores and commercial facilities, and creates new work and lifestyle experiences.

WizAI is an AI tool that offers ChatGPT for WhatsApp, Instagram, and the web. It provides users with the ability to engage in text and voice chat, image and video recognition, and more. WizAI is powered by OpenAI's ChatGPT, offering advanced AI capabilities for generating smart replies and interacting with users in a human-like manner.

The website offers a facial shape determination tool using AI technology. Users can upload a photo of themselves to have the AI recognize and analyze their facial shape. The tool identifies six common facial shapes, such as elongated, oval, square, round, heart-shaped, and diamond-shaped. The facial analysis is based on a combination of image processing and AI algorithms, extracting facial features like eyes, nose, mouth, and contours to determine the facial shape. The tool prioritizes user privacy by not storing uploaded photos permanently and solely using them for facial shape analysis. It is free for all users, supported by website advertising. While the AI has high accuracy in determining facial shapes, slight deviations may occur with poor-quality photos or unclear facial features.

Neural4D is an AI tool designed to provide advanced neural network solutions. It offers a range of features for deep learning applications, including image recognition, natural language processing, and predictive analytics. With Neural4D, users can build and train complex neural networks to solve various real-world problems. The tool is user-friendly and suitable for both beginners and experienced AI practitioners.

Future Tools is a website that collects and organizes AI tools. It provides a comprehensive list of AI tools categorized into various domains, including AI detection, aggregators, avatar chat, copywriting, finance, gaming, generative art, generative code, generative video, image improvement, image scanning, inspiration, marketing, motion capture, music, podcasting, productivity, prompt guides, research, self-improvement, social media, speech-to-text, text-to-speech, text-to-video, translation, video editing, and voice modulation. The website also offers a search bar to help users find specific tools based on their needs.

Luxonis is a platform that offers robotic vision solutions through high-resolution cameras with depth vision and on-chip machine learning capabilities. Their products include OAK Cameras and Modules, providing features like Stereo Depth Sensing, Computer Vision, Artificial Intelligence, and Cloud Management. Luxonis enables the development of computer vision products and companies by offering performant and affordable hardware solutions. The platform caters to enterprises and hobbyists, empowering them to easily build embedded vision systems.

This website offers a variety of AI tools and utilities for Mac users. The tools include text assistants, speech-to-text software, image recognition software, and more. The utilities include tools for managing your Mac's settings, improving your productivity, and customizing your Mac's appearance.

NuMind is an AI tool designed to solve information extraction tasks efficiently. It offers high-quality lightweight models tailored to users' needs, automating classification, entity recognition, and structured extraction. The tool is powered by task-specific and domain-agnostic foundation models, outperforming GPT-4 and similar models. NuMind provides solutions for various industries such as insurance and healthcare, ensuring privacy, cost-effectiveness, and faster NLP projects.

MiniAiLive is a provider of Touchless Biometrics Authentication and ID verification solutions. They offer strong security solutions with cutting-edge technologies for facial recognition, liveness detection, and ID document recognition. MiniAiLive ensures seamless integration with clients' existing systems. The application caters to various industries and provides solutions for identity verification, biometric authentication, and fraud prevention. MiniAiLive stands out for its global coverage, configurability, speed, and accuracy in identity verification services.

I ♡ Transcriptions is an AI-powered platform that offers unlimited transcription services for audio and video files. It converts files to text in multiple languages with high accuracy. The platform was created to simplify transcription technology and make it accessible and affordable for users who need to transcribe content with high quality. It supports popular file formats, provides secure data handling, and offers features like speaker recognition and translation. The platform is developed by Jose María Campaña, a full-stack developer, and Tania Campaña, a linguistics doctor, with the vision of making transcription technology truly useful for everyone.

Speech Studio is a cloud-based speech-to-text and text-to-speech platform that enables developers to add speech capabilities to their applications. With Speech Studio, developers can easily transcribe audio and video files, generate synthetic speech, and build custom speech models. Speech Studio is a powerful tool that can be used to improve the accessibility, efficiency, and user experience of any application.

Jamie is a personal AI note-taking tool designed to save users time by automatically taking detailed meeting notes, answering questions, and automating tasks. It is trusted by over 20,000 professionals across industries and offers features such as summarizing meetings, providing useful answers, and supporting multiple languages. Jamie aims to enhance productivity by ensuring important details are captured and tasks are automated seamlessly.

Imagga is a leading provider of image recognition solutions for developers and businesses. Its API empowers intelligent apps with customizable machine learning technology. Imagga's solutions include tagging, categorization, cropping, color extraction, visual search, facial recognition, custom training, and content moderation. These solutions are used by over 30K startups, developers, and students, and trusted by over 200 business customers in more than 82 countries worldwide.

**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.

LearnOpenCV is a repository containing code for Computer Vision, Deep learning, and AI research articles shared on the blog LearnOpenCV.com. It serves as a resource for individuals looking to enhance their expertise in AI through various courses offered by OpenCV. The repository includes a wide range of topics such as image inpainting, instance segmentation, robotics, deep learning models, and more, providing practical implementations and code examples for readers to explore and learn from.

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.

The collection is actively updated with the help of an internal literature search engine.

Rubix ML is a high-level machine learning and deep learning library for the PHP language. It provides a developer-friendly API with over 40 supervised and unsupervised learning algorithms, support for ETL, preprocessing, and cross-validation. The library is open source and free to use commercially. Rubix ML allows users to build machine learning programs in PHP, covering the entire machine learning life cycle from data processing to training and production. It also offers tutorials and educational content to help users get started with machine learning projects.

LLM training in simple, pure C/CUDA. There is no need for 245MB of PyTorch or 107MB of cPython. For example, training GPT-2 (CPU, fp32) is ~1,000 lines of clean code in a single file. It compiles and runs instantly, and exactly matches the PyTorch reference implementation. I chose GPT-2 as the first working example because it is the grand-daddy of LLMs, the first time the modern stack was put together.

AIDE is a machine learning code generation agent that can generate solutions for machine learning tasks from natural language descriptions. It has the following features: 1. **Instruct with Natural Language**: Describe your problem or additional requirements and expert insights, all in natural language. 2. **Deliver Solution in Source Code**: AIDE will generate Python scripts for the **tested** machine learning pipeline. Enjoy full transparency, reproducibility, and the freedom to further improve the source code! 3. **Iterative Optimization**: AIDE iteratively runs, debugs, evaluates, and improves the ML code, all by itself. 4. **Visualization**: We also provide tools to visualize the solution tree produced by AIDE for a better understanding of its experimentation process. This gives you insights not only about what works but also what doesn't. AIDE has been benchmarked on over 60 Kaggle data science competitions and has demonstrated impressive performance, surpassing 50% of Kaggle participants on average. It is particularly well-suited for tasks that require complex data preprocessing, feature engineering, and model selection.

ZML is a high-performance AI inference stack built for production, using Zig language, MLIR, and Bazel. It allows users to create exciting AI projects, run pre-packaged models like MNIST, TinyLlama, OpenLLama, and Meta Llama, and compile models for accelerator runtimes. Users can also run tests, explore examples, and contribute to the project. ZML is licensed under the Apache 2.0 license.

Recognize is a smart media tagging tool for Nextcloud that automatically categorizes photos and music by recognizing faces, animals, landscapes, food, vehicles, buildings, landmarks, monuments, music genres, and human actions in videos. It uses pre-trained models for object detection, landmark recognition, face comparison, music genre classification, and video classification. The tool ensures privacy by processing images locally without sending data to cloud providers. However, it cannot process end-to-end encrypted files. Recognize is rated positively for ethical AI practices in terms of open-source software, freely available models, and training data transparency, except for music genre recognition due to limited access to training data.

This repository contains a C++ application that demonstrates face recognition capabilities using computer vision techniques. The demo utilizes OpenCV and dlib libraries for efficient face detection and recognition with 3D passive face liveness detection (face anti-spoofing). Key Features: Face detection: The SDK utilizes advanced computer vision techniques to detect faces in images or video frames, enabling a wide range of applications. Face recognition: It can recognize known faces by comparing them with a pre-defined database of individuals. Age estimation: It can estimate the age of detected faces. Gender detection: It can determine the gender of detected faces. Liveness detection: It can detect whether a face is from a live person or a static image.

OpenGlass is an open-source project that allows users to transform any regular glasses into smart glasses using affordable off-the-shelf components. With a cost of less than $25, users can enhance their glasses to record their daily activities, recognize people, identify objects, translate text, and more. The project provides detailed instructions on hardware setup and software installation, making it accessible for DIY enthusiasts and tech enthusiasts alike. By following the steps outlined in the repository, users can create their own smart glasses and explore various functionalities offered by the project.

HivisionIDPhoto is a practical algorithm for intelligent ID photo creation. It utilizes a comprehensive model workflow to recognize, cut out, and generate ID photos for various user photo scenarios. The tool offers lightweight cutting, standard ID photo generation based on different size specifications, six-inch layout photo generation, beauty enhancement (waiting), and intelligent outfit swapping (waiting). It aims to solve emergency ID photo creation issues.

FunClip is an open-source, locally deployed automated video clipping tool that leverages Alibaba TONGYI speech lab's FunASR Paraformer series models for speech recognition on videos. Users can select text segments or speakers from recognition results to obtain corresponding video clips. It integrates industrial-grade models for accurate predictions and offers hotword customization and speaker recognition features. The tool is user-friendly with Gradio interaction, supporting multi-segment clipping and providing full video and target segment subtitles. FunClip is suitable for users looking to automate video clipping tasks with advanced AI capabilities.

MediaPipe-rs is a Rust library designed for MediaPipe tasks on WasmEdge WASI-NN. It offers easy-to-use low-code APIs similar to mediapipe-python, with low overhead and flexibility for custom media input. The library supports various tasks like object detection, image classification, gesture recognition, and more, including TfLite models, TF Hub models, and custom models. Users can create task instances, run sessions for pre-processing, inference, and post-processing, and speed up processing by reusing sessions. The library also provides support for audio tasks using audio data from symphonia, ffmpeg, or raw audio. Users can choose between CPU, GPU, or TPU devices for processing.

FunClip is an open-source, locally deployable automated video editing tool that utilizes the FunASR Paraformer series models from Alibaba DAMO Academy for speech recognition in videos. Users can select text segments or speakers from the recognition results and click the clip button to obtain the corresponding video segments. FunClip integrates advanced features such as the Paraformer-Large model for accurate Chinese ASR, SeACo-Paraformer for customized hotword recognition, CAM++ speaker recognition model, Gradio interactive interface for easy usage, support for multiple free edits with automatic SRT subtitles generation, and segment-specific SRT subtitles.

The LandingLens Python library contains the LandingLens development library and examples that show how to integrate your app with LandingLens in a variety of scenarios. The library allows users to acquire images from different sources, run inference on computer vision models deployed in LandingLens, and provides examples in Jupyter Notebooks and Python apps for various tasks such as object detection, home automation, satellite image analysis, license plate detection, and streaming video analysis.

AIlice is a fully autonomous, general-purpose AI agent that aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. AIlice achieves this goal by building a "text computer" that uses a Large Language Model (LLM) as its core processor. Currently, AIlice demonstrates proficiency in a range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid tasks that go beyond these basic capabilities. AIlice has reached near-perfect performance in everyday tasks using GPT-4 and is making strides towards practical application with the latest open-source models. We will ultimately achieve self-evolution of AI agents. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.

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.

Recognize, manage, cope. Works well with GPT-Voice.

This app decodes texts from narcissists, advising across all life scenarios. Navigate. Analyze. Recognize. Communicate.

Je te parle des pervers narcissique. Je t'informe de leurs traits et de leur comportement. Je t'aide à reconnaitre les signes d'une relation toxique.

Friendly and professional guide for street sign app development.

Converts LaTeX images to text, with explanations.

Tell me the origin, processing method, and variety of a premium coffee that interests you, and I will provide you with some possible cupping notes about it

Identifica artistas e obras de arte com análises detalhadas.

アップロードした画像のスタイルを教えてくれるよ！/ It'll tell you the style of the image you've uploaded!

Just send us an image of a scene from a video work and i will guess the name of the work!

Expert in EQ, workplace transformation, grant writing, resume creation, and team recognition.

Realiza consultas de Deep Learning basado en el contenido del canal de Youtube DotCSV

Make talking with girls easier

A mental health consultant offering advice and support.

Exudes intelligence, interprets visuals.

Directrice de l'innovation chez KingLand, experte en IA, gestion de projets et R&D.

Casual and friendly AI guide for easy learning

Expert in identifying and analyzing image styles and tones

Der AI Detektor GPT wird von Winston AI betrieben und wurde entwickelt, um AI-generierte Inhalte zu identifizieren. Es wurde entwickelt, um Ihnen zu helfen, die Verwendung von KI-Schreib-Chatbots wie ChatGPT, Claude und Bard zu erkennen.

Re-connect and recognized by your favorite football club