Best AI tools for< Annotate Pdfs >

UPDF is an AI-integrated PDF editor, converter, annotator, and reader that offers a comprehensive set of features for seamless PDF editing. It provides cross-platform support on Windows, Mac, iOS, and Android devices. With UPDF AI capabilities, users can summarize, translate, and chat with PDF, making it a versatile tool for various tasks. The application is user-friendly, well-priced, and reliable, catering to both individual and enterprise needs. UPDF also offers localized interface in 11 languages and responsive customer support.

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.

Goodnotes is a note-taking app that offers a handwriting experience like no other. With powerful AI features like Spellcheck and Word Complete, you can focus on getting your ideas on the page without worrying about typos. Goodnotes is available on iOS, Mac, Windows, Android, and the web, so you can access your notes from anywhere. It's the perfect tool for students, professionals, and anyone who wants to take their note-taking to the next level.

Wondershare PDFelement is a comprehensive PDF solution that simplifies PDF-related tasks with the power of AI. It offers a wide range of features for editing, converting, annotating, organizing, and protecting PDF documents. With its intuitive user interface and affordable pricing, PDFelement is an excellent choice for individuals, businesses, and educational institutions.

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.

CVAT is an open-source data annotation platform that helps teams of any size annotate data for machine learning. It is used by companies big and small in a variety of industries, including healthcare, retail, and automotive. CVAT is known for its intuitive user interface, advanced features, and support for a wide range of data formats. It is also highly extensible, allowing users to add their own custom features and integrations.

Datature is an all-in-one platform for building and deploying computer vision models. It provides tools for data management, annotation, training, and deployment, making it easy to develop and implement computer vision solutions. Datature is used by a variety of industries, including healthcare, retail, manufacturing, and agriculture.

Tube Memo is an AI-powered tool designed to facilitate effortless note-taking from YouTube videos. It allows users to capture transcripts, organize notes, and generate summaries from videos. The tool enhances productivity by providing features like timestamped transcripts, AI-powered summaries, content organizing, and the ability to easily share and download notes. Users can collaborate with team members, categorize and tag memos for efficient searching, and access their notes across various devices. Tube Memo aims to streamline the process of extracting key insights from video content, making it a valuable asset for students, professionals, content creators, and researchers.

Encord is a complete data development platform designed for AI applications, specifically tailored for computer vision and multimodal AI teams. It offers tools to intelligently manage, clean, and curate data, streamline labeling and workflow management, and evaluate model performance. Encord aims to unlock the potential of AI for organizations by simplifying data-centric AI pipelines, enabling the building of better models and deploying high-quality production AI faster.

Shaip is a human-powered data processing service specializing in AI and ML models. They offer a wide range of services including data collection, annotation, de-identification, and more. Shaip provides high-quality training data for various AI applications, such as healthcare AI, conversational AI, and computer vision. With over 15 years of expertise, Shaip helps organizations unlock critical information from unstructured data, enabling them to achieve better results in their AI initiatives.

Globose Technology Solutions Pvt Ltd (GTS) is an AI data collection company that provides various datasets such as image datasets, video datasets, text datasets, speech datasets, etc., to train machine learning models. They offer premium data collection services with a human touch, aiming to refine AI vision and propel AI forward. With over 25+ years of experience, they specialize in data management, annotation, and effective data collection techniques for AI/ML. The company focuses on unlocking high-quality data, understanding AI's transformative impact, and ensuring data accuracy as the backbone of reliable AI.

Cogitotech is an AI tool that specializes in data annotation and labeling expertise. The platform offers a comprehensive suite of services tailored to meet training data needs for computer vision models and AI applications. With a decade-long industry exposure, Cogitotech provides high-quality training data for industries like healthcare, financial services, security, and more. The platform helps minimize biases in AI algorithms and ensures accurate and reliable training data solutions for deploying AI in real-life systems.

DeepVinci is an AI-powered platform that helps businesses automate their workflows and make better decisions. It offers a range of features, including data annotation, model training, and predictive analytics.

Patee.io is an AI-powered platform that helps businesses automate their data annotation and labeling tasks. With Patee.io, businesses can easily create, manage, and annotate large datasets, which can then be used to train machine learning models. Patee.io offers a variety of features that make it easy to annotate data, including a user-friendly interface, a variety of annotation tools, and the ability to collaborate with others. Patee.io also offers a number of pre-built models that can be used to automate the annotation process, saving businesses time and money.

Cogniroot is an AI-powered platform that helps businesses automate their data annotation and data labeling processes. It provides a suite of tools and services that make it easy for businesses to train their machine learning models with high-quality data. Cogniroot's platform is designed to be scalable, efficient, and cost-effective, making it a valuable tool for businesses of all sizes.

Roboflow is an AI tool designed for computer vision tasks, offering a platform that allows users to annotate, train, deploy, and perform inference on models. It provides integrations, ecosystem support, and features like notebooks, autodistillation, and supervision. Roboflow caters to various industries such as aerospace, agriculture, healthcare, finance, and more, with a focus on simplifying the development and deployment of computer vision models.

Pulan is a comprehensive platform designed to assist in collecting, curating, annotating, and evaluating data points for various AI initiatives. It offers services in Natural Language Processing, Data Annotation, and Computer Vision across multiple industries such as Agriculture, Medical, Life Sciences, Government, Automotive, Insurance & Finance, Logistics, Software & Internet, Manufacturing, Retail, Construction, Energy, and Food & Beverage. Pulan provides a one-stop destination for reliable data collection and curation by industry experts, with a vast inventory of millions of datasets available for licensing at a fraction of the cost of creating the data oneself.

OpenAI01.net is an AI tool that offers free usage with some limitations. It provides a new series of AI models designed to spend more time thinking before responding, capable of reasoning through complex tasks and solving harder problems in science, coding, and math. Users can ask questions and get answers for free, with the option to select different models based on credits. The tool excels in complex reasoning tasks and has shown impressive performance in various benchmarks.

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.

Innodata Inc. is a global data engineering company that delivers AI-enabled software platforms and managed services for AI data collection/annotation, AI digital transformation, and industry-specific business processes. They provide a full-suite of services and products to power data-centric AI initiatives using artificial intelligence and human expertise. With a 30+ year legacy, they offer the highest quality data and outstanding service to their customers.

AI File Organizer 2000 is an Obsidian Plugin that uses AI to transcribe audio, annotate images, and automatically organize files by moving them to the most likely folders. It supports text, audio, and images, with upcoming local-first LLM support. Users can simply place unorganized files into the 'Inbox' folder for automatic organization. The tool renames and moves files quickly, providing a seamless file organization experience. Self-hosting is also possible by running the server and enabling the 'Self-hosted' option in the plugin settings. Join the community Discord server for more information and use the provided iOS shortcut for easy access on mobile devices.

LLM Datasets is a repository containing high-quality datasets, tools, and concepts for LLM fine-tuning. It provides datasets with characteristics like accuracy, diversity, and complexity to train large language models for various tasks. The repository includes datasets for general-purpose, math & logic, code, conversation & role-play, and agent & function calling domains. It also offers guidance on creating high-quality datasets through data deduplication, data quality assessment, data exploration, and data generation techniques.

Zshot is a highly customizable framework for performing Zero and Few shot named entity and relationships recognition. It can be used for mentions extraction, wikification, zero and few shot named entity recognition, zero and few shot named relationship recognition, and visualization of zero-shot NER and RE extraction. The framework consists of two main components: the mentions extractor and the linker. There are multiple mentions extractors and linkers available, each serving a specific purpose. Zshot also includes a relations extractor and a knowledge extractor for extracting relations among entities and performing entity classification. The tool requires Python 3.6+ and dependencies like spacy, torch, transformers, evaluate, and datasets for evaluation over datasets like OntoNotes. Optional dependencies include flair and blink for additional functionalities. Zshot provides examples, tutorials, and evaluation methods to assess the performance of the components.

DataChain is an open-source Python library for processing and curating unstructured data at scale. It supports AI-driven data curation using local ML models and LLM APIs, handles large datasets, and is Python-friendly with Pydantic objects. It excels at optimizing batch operations and is designed for offline data processing, curation, and ETL. Typical use cases include Computer Vision data curation, LLM analytics, and validation.

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.

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.

Jarvis is an AI note-taking assistant for Joplin, powered by online and offline LLMs (such as OpenAI's ChatGPT or GPT-4, Hugging Face, Google PaLM, Universal Sentence Encoder). You can chat with it (including prompt templates), use your personal notes as additional context in the chat, automatically annotate notes, perform semantic search, or compile an automatic review of the scientific literature.

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.

Comfyui-Aix-NodeMap is a project by the Aix team to organize and annotate the latest nodes in Comfyui. It aims to address the challenge of finding nodes effectively as their number increases. The project is continuously updated every 7 days, with the opportunity for users to provide feedback on any omissions or errors. The team respects developers' opinions and strives to make corrections promptly. The project is part of Aix's vision to make humanity more efficient through open-source contributions, including daily updates on workflow, AI information, and node introductions.

X-AnyLabeling is a robust annotation tool that seamlessly incorporates an AI inference engine alongside an array of sophisticated features. Tailored for practical applications, it is committed to delivering comprehensive, industrial-grade solutions for image data engineers. This tool excels in swiftly and automatically executing annotations across diverse and intricate tasks.

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.

ceLLama is a streamlined automation pipeline for cell type annotations using large-language models (LLMs). It operates locally to ensure privacy, provides comprehensive analysis by considering negative genes, offers efficient processing speed, and generates customized reports. Ideal for quick and preliminary cell type checks.

DataDreamer is an advanced toolkit designed to facilitate the development of edge AI models by enabling synthetic data generation, knowledge extraction from pre-trained models, and creation of efficient and potent models. It eliminates the need for extensive datasets by generating synthetic datasets, leverages latent knowledge from pre-trained models, and focuses on creating compact models suitable for integration into any device and performance for specialized tasks. The toolkit offers features like prompt generation, image generation, dataset annotation, and tools for training small-scale neural networks for edge deployment. It provides hardware requirements, usage instructions, available models, and limitations to consider while using the library.

Helps annotate project guidelines.

An assistant for annotating and improving fiction writing, chapter by chapter.

Python code annotator and test generator

I write Qiskit code for quantum algorithms with annotations.

Expert in PDF tasks and tool advice.

Tipps zu AutoCAD 2023 & StadtCAD24, Fokus auf AutoCAD

A detailed expert trained on all 1,823 pages of Apple PencilKit, offering complete coding solutions. Saving time? https://www.buymeacoffee.com/parkerrex ☕️❤️

A visual analysis expert who guesses image locations.