Best AI tools for< Label Documents >

CategorAIze.io is an AI-powered tool that helps users categorize data effortlessly using the latest AI technologies. Users can define custom categories, upload data items, and let the cutting-edge LLM AI automatically assign entries based on their content without the need for pretraining. The tool supports multi-level hierarchies, text and image-based categorization, and offers pay-as-you-go pricing options. Additionally, users can access the tool via browser, API, and plugins for a seamless experience.

OpenTrain AI is a data labeling marketplace that leverages artificial intelligence to streamline the process of labeling data for machine learning models. It provides a platform where users can crowdsource data labeling tasks to a global community of annotators, ensuring high-quality labeled datasets for training AI algorithms. With advanced AI algorithms and human-in-the-loop validation, OpenTrain AI offers efficient and accurate data labeling services for various industries such as autonomous vehicles, healthcare, and natural language processing.

Innovatiana is a data labeling outsourcing platform that offers high-quality datasets for artificial intelligence models. They specialize in image, audio/video, and text data labeling tasks, providing ethical outsourcing with a focus on impact and transparency. Innovatiana recruits and trains their own team in Madagascar, ensuring fair pay and good working conditions. They offer competitive rates, secure data handling, and high-quality labeled data to feed AI models. The platform supports various AI tasks such as Computer Vision, Data Collection, Data Moderation, Documents Processing, and Natural Language Processing.

InsertChat is an AI chatbot creator that allows users to build white-label AI chatbots with no coding using URLs, documents, texts, audio, and videos. The platform offers a variety of features, including customization and interface, training and security, actions and automations, business and stats, and full UI theming. InsertChat is trusted by thousands of companies around the world and is rated 4.9/5 stars.

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.

V7 is an AI data engine for computer vision and generative AI. It provides a multimodal automation tool that helps users label data 10x faster, power AI products via API, build AI + human workflows, and reach 99% AI accuracy. V7's platform includes features such as automated annotation, DICOM annotation, dataset management, model management, image annotation, video annotation, document processing, and labeling services.

UBIAI is a powerful text annotation tool that helps businesses accelerate their data labeling process. With UBIAI, businesses can annotate any type of document, including PDFs, images, and text. UBIAI also offers a variety of features to make the annotation process easier and more efficient, such as auto-labeling, multi-lingual annotation, and team collaboration. With UBIAI, businesses can save time and money on their data labeling projects.

Shotstack is a Cloud Video Editing API platform that offers AI-powered video creation capabilities. It allows users to create powerful video workflows and applications using AI and programmatic video editing tools. With features like bulk video editing, AI-powered video generation, scaled video rendering, and white-label video editor, Shotstack aims to streamline the video creation process for businesses and developers. The platform caters to various industries such as real estate, automotive, sports, and more, providing solutions for social media automation, video personalization, and embedded video editing. Shotstack also offers developer documentation, resources, and support to help users leverage its features effectively.

The website offers a platform called E-Label Masterguide for wineries to create EU E-Labels for wines in compliance with the new EU label regulation. Developed with legal experts, the tool allows users to generate E-Labels quickly and easily, even without prior knowledge, at fair prices. It provides features like online E-Label creation, 10-year online storage, transparent costs, interfaces for data import, collective QR codes for price lists, and automatic translation into EU languages. The platform has been praised by wineries worldwide for its user-friendly interface and compliance with regulations.

Write Label is a creative workflow platform that combines the expertise of human creatives with the power of AI to deliver innovative and high-quality creative solutions. The platform offers tools for copywriting, synthetic voiceover, audio production, and more, helping users save time, increase sales, and scale their businesses. With Write Label, users can access a custom approach to campaign success, exciting prospects and clients with compelling content. The platform also provides opportunities for professional creatives to join the community, work on projects, earn money, and improve their creative skills with feedback and resources.

SEO Vendor is a white label SEO, PPC, and web design reseller platform that provides agencies with the tools and resources they need to grow their businesses. With SEO Vendor, agencies can offer their clients a full suite of marketing services, including SEO, PPC, web design, and content marketing. SEO Vendor's platform is powered by CORE AI, a patent-pending AI technology that delivers 10X better results than traditional SEO methods. With SEO Vendor, agencies can close more deals, retain clients longer, and grow their businesses faster.

FormWise.AI is a no-code platform that allows users to create and embed white-label AI tools. With FormWise.AI, users can turn popular ChatGPT prompts into lead magnets, tiny offers, and marketing tools that they can monetize without coding. FormWise.AI also offers a variety of templates and integrations to help users get started quickly and easily.

GetWebsite.Report is an innovative web service that leverages state-of-the-art AI models to analyze and optimize landing pages across five main categories: user interface, user experience, visual design, content, and SEO. It provides actionable insights to enhance the performance and effectiveness of digital presence. The tool offers personalized recommendations to improve conversion rates, SEO, usability, and messaging. It is rated 4.8/5 by 290+ users and comes with a 100% money-back guarantee if not satisfied. GetWebsite.Report is designed to be adaptable across diverse industries, offering practical advice and resources for optimizing user experience and search visibility.

AITag.Photo is an AI tool that helps users quickly generate tags, descriptions, and other keywords for their photos. It uses advanced image understanding technology to accurately generate content descriptions for each photo, making it easy to organize and manage photos efficiently. Users can create stories based on images, featuring dialogues or monologues of characters. AITag.Photo simplifies the process of describing photos, saving users time and effort in photo management.

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.

Be My Eyes is a free mobile app that connects blind and low-vision people with sighted volunteers and AI-powered assistance. With Be My Eyes, blind and low-vision people can access visual information, get help with everyday tasks, and connect with others in the community. Be My Eyes is available in over 180 languages and has over 6 million volunteers worldwide.

Anote is a human-centered AI company that provides a suite of products and services to help businesses improve their data quality and build better AI models. Anote's products include a data labeler, a private chatbot, a model inference API, and a lead generation tool. Anote's services include data annotation, model training, and consulting.

OnOut is a platform that offers a variety of tools for developers to deploy web3 apps on their own domain with ease. It provides deployment tools for blockchain apps, DEX, farming, DAO, cross-chain setups, IDOFactory, NFT staking, and AI applications like Chate and AiGram. The platform allows users to customize their apps, earn commissions, and manage various aspects of their projects without the need for coding skills. OnOut aims to simplify the process of launching and managing decentralized applications for both developers and non-technical users.

InteraxAI is a no-code platform that allows users to embed AI widgets into their websites, blogs, or platforms without writing any code. The platform offers a range of AI widgets, including a chatbot assistant, an image generator, and a text completion tool. InteraxAI's widgets are fully customizable and can be configured to fit the user's brand and use case. The platform is also monetizable, allowing users to earn revenue by offering AI widgets to their audience.

Blazeo is an AI-powered platform that offers solutions for ad conversion, lead capture, lead qualification, appointment scheduling, and more. It provides tools like live chat, voice call centers, virtual assistant, and SMS communication to help businesses engage with customers effectively. Blazeo aims to ignite growth for its customers by delivering innovative solutions with passion, speed, and energy.

dwata is an open source desktop app designed to manage all your private data on your laptop, providing offline access, fast search capabilities, and organization features for emails, files, contacts, events, and tasks. It aims to reduce cognitive overhead in daily digital life by offering a centralized platform for personal data management. The tool prioritizes user privacy, with no data being sent outside the user's computer without explicit permission. dwata is still in early development stages and offers integration with AI providers for advanced functionalities.

This solution showcases how to summarize a large corpus of documents using Generative AI. It provides an end-to-end demonstration of document summarization going all the way from raw documents, detecting text in the documents and summarizing the documents on-demand using Vertex AI LLM APIs, Cloud Vision Optical Character Recognition (OCR) and BigQuery.

MiniCheck is an efficient fact-checking tool designed to verify claims against grounding documents using large language models. It provides a sentence-level fact-checking model that can be used to evaluate the consistency of claims with the provided documents. MiniCheck offers different models, including Bespoke-MiniCheck-7B, which is the state-of-the-art and commercially usable. The tool enables users to fact-check multi-sentence claims by breaking them down into individual sentences for optimal performance. It also supports automatic prefix caching for faster inference when repeatedly fact-checking the same document with different claims.

BlinkID iOS is a mobile SDK that enables developers to easily integrate ID scanning and data extraction capabilities into their iOS applications. The SDK supports scanning and processing various types of identity documents, such as passports, driver's licenses, and ID cards. It provides accurate and fast data extraction, including personal information and document details. With BlinkID iOS, developers can enhance their apps with secure and reliable ID verification functionality, improving user experience and streamlining identity verification processes.

**Advising App™** is a software solution created by Canyon GBS™ that includes a robust personal assistant designed to support student service professionals in their day-to-day roles. The assistant can help with research tasks, draft communication, language translation, content creation, student profile analysis, project planning, ideation, and much more. The software also includes a student service CRM designed to support the management of prospective and enrolled students. Key features of the CRM include record management, email and SMS, service management, caseload management, task management, interaction tracking, files and documents, and much more.

EDA GPT is an open-source data analysis companion that offers a comprehensive solution for structured and unstructured data analysis. It streamlines the data analysis process, empowering users to explore, visualize, and gain insights from their data. EDA GPT supports analyzing structured data in various formats like CSV, XLSX, and SQLite, generating graphs, and conducting in-depth analysis of unstructured data such as PDFs and images. It provides a user-friendly interface, powerful features, and capabilities like comparing performance with other tools, analyzing large language models, multimodal search, data cleaning, and editing. The tool is optimized for maximal parallel processing, searching internet and documents, and creating analysis reports from structured and unstructured data.

RLHF Book is a work-in-progress textbook covering the fundamentals of Reinforcement Learning from Human Feedback (RLHF). It is built on the Pandoc book template and is meant for people with a basic ML and/or software background. The content for the book is licensed under the Creative Commons Non-Commercial Attribution License, CC BY-NC 4.0. The repository contains a simple template for building Pandoc documents, allowing users to compile markdown files into readable files such as PDF, EPUB, and HTML.

A comprehensive repository of resources for Chinese large language models (LLMs), including data processing tools, fine-tuning frameworks, inference libraries, evaluation platforms, RAG engines, agent frameworks, books, courses, tutorials, and tips. The repository covers a wide range of tools and resources for working with LLMs, from data labeling and processing to model fine-tuning, inference, evaluation, and application development. It also includes resources for learning about LLMs through books, courses, and tutorials, as well as insights and strategies from building with LLMs.

At ZenML, we believe in the importance of annotation and labeling workflows in the machine learning lifecycle. This repository showcases a curated list of open-source data annotation and labeling tools that are actively maintained and fit for purpose. The tools cover various domains such as multi-modal, text, images, audio, video, time series, and other data types. Users can contribute to the list and discover tools for tasks like named entity recognition, data annotation for machine learning, image and video annotation, text classification, sequence labeling, object detection, and more. The repository aims to help users enhance their data-centric workflows by leveraging these tools.

The 'awesome-local-llms' repository is a curated list of open-source tools for local Large Language Model (LLM) inference, covering both proprietary and open weights LLMs. The repository categorizes these tools into LLM inference backend engines, LLM front end UIs, and all-in-one desktop applications. It collects GitHub repository metrics as proxies for popularity and active maintenance. Contributions are encouraged, and users can suggest additional open-source repositories through the Issues section or by running a provided script to update the README and make a pull request. The repository aims to provide a comprehensive resource for exploring and utilizing local LLM tools.

This repository contains the code to prepare the data for the Amber 7B language model. The final training data comes from three sources: RedPajama V1, RefinedWeb, and StarCoderData. The data preparation involves downloading untokenized data, tokenizing the data using the Huggingface tokenizer, concatenating tokens into 2048 token sequences, merging datasets, and splitting the merged dataset into 360 chunks. Each tokenized data chunk is a jsonl file containing samples with 2049 tokens. The repository provides scripts for downloading datasets, tokenizing and concatenating sequences, validating data, and merging subsets into chunks.

Cognee is an open-source framework designed for creating self-improving deterministic outputs for Large Language Models (LLMs) using graphs, LLMs, and vector retrieval. It provides a platform for AI engineers to enhance their models and generate more accurate results. Users can leverage Cognee to add new information, utilize LLMs for knowledge creation, and query the system for relevant knowledge. The tool supports various LLM providers and offers flexibility in adding different data types, such as text files or directories. Cognee aims to streamline the process of working with LLMs and improving AI models for better performance and efficiency.

The Lakera PINT Benchmark provides a neutral evaluation method for prompt injection detection systems, offering a dataset of English inputs with prompt injections, jailbreaks, benign inputs, user-agent chats, and public document excerpts. The dataset is designed to be challenging and representative, with plans for future enhancements. The benchmark aims to be unbiased and accurate, welcoming contributions to improve prompt injection detection. Users can evaluate prompt injection detection systems using the provided Jupyter Notebook. The dataset structure is specified in YAML format, allowing users to prepare their datasets for benchmarking. Evaluation examples and resources are provided to assist users in evaluating prompt injection detection models and tools.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

This repository is dedicated to summarizing papers related to large language models with the field of law. It includes applications of large language models in legal tasks, legal agents, legal problems of large language models, data resources for large language models in law, law LLMs, and evaluation of large language models in the legal domain.

qlora-pipe is a pipeline parallel training script designed for efficiently training large language models that cannot fit on one GPU. It supports QLoRA, LoRA, and full fine-tuning, with efficient model loading and the ability to load any dataset that Axolotl can handle. The script allows for raw text training, resuming training from a checkpoint, logging metrics to Tensorboard, specifying a separate evaluation dataset, training on multiple datasets simultaneously, and supports various models like Llama, Mistral, Mixtral, Qwen-1.5, and Cohere (Command R). It handles pipeline- and data-parallelism using Deepspeed, enabling users to set the number of GPUs, pipeline stages, and gradient accumulation steps for optimal utilization.

RAG with txtai is a Retrieval Augmented Generation (RAG) Streamlit application that helps generate factually correct content by limiting the context in which a Large Language Model (LLM) can generate answers. It supports two categories of RAG: Vector RAG, where context is supplied via a vector search query, and Graph RAG, where context is supplied via a graph path traversal query. The application allows users to run queries, add data to the index, and configure various parameters to control its behavior.

Pixeltable is a Python library designed for ML Engineers and Data Scientists to focus on exploration, modeling, and app development without the need to handle data plumbing. It provides a declarative interface for working with text, images, embeddings, and video, enabling users to store, transform, index, and iterate on data within a single table interface. Pixeltable is persistent, acting as a database unlike in-memory Python libraries such as Pandas. It offers features like data storage and versioning, combined data and model lineage, indexing, orchestration of multimodal workloads, incremental updates, and automatic production-ready code generation. The tool emphasizes transparency, reproducibility, cost-saving through incremental data changes, and seamless integration with existing Python code and libraries.

Chat Nio is a next-generation AI one-stop solution that provides a rich and user-friendly interface for interacting with various AI models. It offers features such as AI chat conversation, rich format compatibility, markdown support, message menu support, multi-platform adaptation, dialogue memory, full-model file parsing, full-model DuckDuckGo online search, full-screen large text editing, model marketplace, preset support, site announcements, preference settings, internationalization support, and a rich admin system. Chat Nio also boasts a powerful channel management system that utilizes a self-developed channel distribution algorithm, supports multi-channel management, is compatible with multiple formats, allows for custom models, supports channel retries, enables balanced load within the same channel, and provides channel model mapping and user grouping. Additionally, Chat Nio offers forwarding API services that are compatible with multiple formats in the OpenAI universal format and support multiple model compatible layers. It also provides a custom build and install option for highly customizable deployments. Chat Nio is an open-source project licensed under the Apache License 2.0 and welcomes contributions from the community.

The Artificial Intelligence Incident Database (AIID) is a collection of incidents involving the development and use of artificial intelligence (AI). The database is designed to help researchers, policymakers, and the public understand the potential risks and benefits of AI, and to inform the development of policies and practices to mitigate the risks and promote the benefits of AI. The AIID is a collaborative project involving researchers from the University of California, Berkeley, the University of Washington, and the University of Toronto.

Your Own Ai Record Label Work Force.

Create cartoon style label designs on a beer cans using an image and prompt provided by the user.

Expert in Your ERP software, specializing in White Label contracts and implementation advice.

by Medicinex.tech: Simply snap a photo of your meals or nutrition label, and AI will calculate the calories and nutrients in your food and track progress.

Print individual (1) die cut stickers. I create custom stickers and guide you to download them. After downloading them, you can send them to Midwest Label and print out 1-100 individual labels.

Your music marketing mentor

The AI management solution for today's artists navigating the ever-changing industry

Makes music law easy and approachable for everyone.

Producteur à Succès plusieurs fois certifié & Expert formateur en Music Business

cryptic metal oracle, weaving dark tales of metal lore

Your go-to A&R Manager for navigating the music biz.

Music expert on pop genres, artists, and trends

A consultative music industry assistant.

Expert in AI training data, tailored guidance

专家于中国化妆品法规咨询

I analyze food labels, menus, and images for cholesterol content and offer healthier alternatives.

Expert in crafting homebrew recipes, beer names, beer labels, troubleshooting and downloadable files for BrewFather.

Nutri-Score analysis based on the Nutri-Score system in Europe