Open Source Linux Text Annotation Tools
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Text Annotation Tools for Linux
View 793 business solutionsBrowse free open source Text Annotation tools and projects for Linux below. Use the toggles on the left to filter open source Text Annotation tools by OS, license, language, programming language, and project status.
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Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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eProcurement SoftwareeBuyerAssist by Eyvo is a cloud-based procurement solution designed for businesses of all sizes and industries. Fully modular and scalable, it streamlines the entire procurement lifecycle—from requisition to fulfillment. The platform includes powerful tools for strategic sourcing, supplier management, warehouse operations, and contract oversight. Additional modules cover purchase orders, approval workflows, inventory and asset management, customer orders, budget control, cost accounting, invoice matching, vendor credit checks, and risk analysis. eBuyerAssist centralizes all procurement functions into a single, easy-to-use system—improving visibility, control, and efficiency across your organization. Whether you're aiming to reduce costs, enhance compliance, or align procurement with broader business goals, eBuyerAssist helps you get there faster, smarter, and with measurable results.
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Label Studio
Label Studio is a multi-type data labeling and annotation tool
The most flexible data annotation tool. Quickly installable. Build custom UIs or use pre-built labeling templates. Detect objects on image, bboxes, polygons, circular, and keypoints supported. Partition image into multiple segments. Use ML models to pre-label and optimize the process. Label Studio is an open-source data labeling tool. It lets you label data types like audio, text, images, videos, and time series with a simple and straightforward UI and export to various model formats. It can be used to prepare raw data or improve existing training data to get more accurate ML models. The frontend part of Label Studio app lies in the frontend/ folder and written in React JSX. Multi-user labeling sign up and login, when you create an annotation it's tied to your account. Configurable label formats let you customize the visual interface to meet your specific labeling needs. Support for multiple data types including images, audio, text, HTML, time-series, and video. -
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Discourse Network Analyzer (DNA)
Discourse Network Analyzer (DNA)
The Java software Discourse Network Analyzer (DNA) is a qualitative content analysis tool with network export facilities. You import text files and annotate statements that persons or organizations make, and the program will return network matrices of actors connected by shared concepts. -
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Data Annotator for Machine Learning
Data annotator for machine learning
Data annotator for machine learning allows you to centrally create, manage and administer annotation projects for machine learning. Data Annotator for Machine Learning (DAML) is an application that helps machine learning teams facilitate the creation and management of annotations. Active learning with uncertain sampling to query unlabeled data. Project tracking with real-time data aggregation and review process. User management panel with role-based access control. -
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Argilla
The open-source data curation platform for LLMs
Argilla is a production-ready framework for building and improving datasets for NLP projects. Deploy your own Argilla Server on Spaces with a few clicks. Use embeddings to find the most similar records with the UI. This feature uses vector search combined with traditional search (keyword and filter based). Argilla is free, open-source, and 100% compatible with major NLP libraries (Hugging Face transformers, spaCy, Stanford Stanza, Flair, etc.). In fact, you can use and combine your preferred libraries without implementing any specific interface. Most annotation tools treat data collection as a one-off activity at the beginning of each project. In real-world projects, data collection is a key activity of the iterative process of ML model development. Once a model goes into production, you want to monitor and analyze its predictions, and collect more data to improve your model over time. Argilla is designed to close this gap, enabling you to iterate as much as you need. -
Turn more customers into advocates.The platform's advanced capabilities ensure companies get the most out of their referral programs. Leverage custom events, profiles, and attributes to enable dynamic, audience-specific referral experiences. Use first-party data to tailor customer segment messaging, rewards, and engagement strategies. Use our flexible APIs to build management capabilities and consumer experiences–headlessly or hybrid. We have all the tools you need to build scalable, secure, and high-performing referral programs.
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The Bracket Based Arabic Annotation (B2A2) scheme provides users with the ability to manually tag Arabic text with Part-of-Speech (POS) markers. B2A2 introduces a new approach that enables tagging Arabic text using morphology aware tag markers. Different types of tag markers can be incorporated e.g. grammatical, functional, semantic, linguistic markers.Tag-sets can be configured (modified/extended) by accessing the related table in the supporting database, The user can upload text files where sentences are normalized and inserted into the supporting database. Multiple narratives can be listed in the text file, where narratives are separated using a # symbol. The text upload process entitles the initial (POS) tagging of uploaded text using Stanford (POS) tagger. The user can later modify and extend the initial tagging. The resultant annotations are stored in the supporting database. These results can be exported to excel or text files for further processing.
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DBpedia Spotlight
DBpedia Spotlight is a tool for automatically annotating
It is a tool for automatically annotating mentions of DBpedia resources in text, providing a solution for linking unstructured information sources to the Linked Open Data cloud through DBpedia. With a four step approach, DBpedia Spotlight performs named entity extraction, including entity detection and name resolution. It can also be used for named entity recognition, amongst other information extraction tasks. Empower the user experience reusing, interlinking and making semantic queries among high-quality open datasets, extracting meaning from unstructured data. -
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DBpedia Spotlight is a tool for annotating mentions of DBpedia resources in natural language text. The source code is now hosted on GitHub: https://github.com/dbpedia-spotlight
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Djangology is a web application for distributed collaborative text annotation. It consists of an admin interface for user/project/document management; an annotator interface, and an interface for error analysis and inter-annotator agreement statistics.
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Knowtator is a general-purpose text annotation tool that is integrated with the Protégé knowledge representation system. Knowtator facilitates the manual creation of training and evaluation corpora for a variety of biomedical language processing tasks.
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Inventors: Validate Your Idea, Protect It and Gain Market AdvantagessenseIP is an AI innovation platform for inventors, automating any aspect of IP from the moment you have an idea. You can have it researched for uniqueness and protected; quickly and effortlessly, without expensive attorneys. Built for business success while securing your competitive edge.
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Label Sleuth
Open source no-code system for text annotation and building of text
An open-source no-code system for text annotation and building text classifiers. No AI knowledge needed. From task definition to working model in just a few hours! While domain experts label their data, Label Sleuth automatically trains in the background-appropriate machine learning models. To avoid wasted labeling effort, Label Sleuth employs active learning techniques to guide the user in what they should be labeled next. Domain experts can quickly start labeling their data through an intuitive user interface. Developed by researchers across industry and academia, Label Sleuth incorporates the latest research from human-computer interaction, natural language processing, and artificial intelligence. Label Sleuth has been designed with an extensible architecture allowing the easy integration of new components, such as additional model architectures or active learning techniques. -
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A GUI-based text annotation tool for creating and visualizing annotations. It uses a flexible stand-off XML data format, and has advanced and customizable methods for information and relation visualization.
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PDF Annot is a piece of software that enables you to add audio and text annotation to a PDF. It uses JPedal SimpleViewer and iText library. Annotations are supported by Adobe'sofficial PDF Reader. Report any bug here: krakosia[at]gmail.com
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Quadriga
Quadruple Network Management System
Quadriga is a web-application that acts as a clearing-house for text annotations -- in the form of contextualized triples, or “quadruples,” that form complex graphs -- generated with the Vogon desktop application (https://sourceforge.net/projects/gobtan/), and as an environment for managing text-annotation projects. It relies on a central authentication system for user authentication, a dictionary service (Wordpower) and an authority file service (Conceptpower). Quadriga can connect to a DSpace repository, allowing users to select items stored in the repository for annotation. Quadriga can use standard graphs to map quadruples onto conventional semantic graphs that can be submitted to a triple store, and used for interactive websites and visualizations. -
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Recogito JS
A JavaScript library for text annotation
A JavaScript library for text annotation. Use it to add annotation functionality to a web page, or as a toolbox for building your own, completely custom annotation apps. Try the online demo or see the API reference. -
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SemNotes
Semantic Note-taking tool for KDE
SemNotes is a semantic note taking tool for KDE4, built on top of Nepomuk-KDE. The tool is still under development, but it is already usable, provided that KDE4 is installed and the Nepomuk running. -
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SimpleAnnotator
A simple tool to annotate a text.
This tool allows the user to annotate by coloring portions of the text. This can be seen as a simple model of annotation. This tool has been built to complete particular experimentation on student behavior (annotation per example) facing particularly difficult content. We put it here as an open-source project. -
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The Text Annotation Environment (tae) can be used to annotate natural language text manually or automatically (UIMA Annotator) with meta information (tokens, part-of-speech, named entities, ...). Tae is based on Eclipse and IBM's UIMA.
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anno
Go package for text annotation
Go package for text annotation. There are two parts to anno, the first is a series of Finder functions that look for interesting articles (which it calls `Notes`) inside the text, returning a slice of Note structs. The second is the Expander, which replaces the text in each Note with something else, like the HTML for a link or something. It tells you the bytes that it found, the `Start` index and a string describing the kind of `Note`. The kind is useful for when you run pass `Finder` objects to the `FindMany` or `FindManyString` functions. Since most of the built-in finders operate on a per field basis (word by word), it made sense to add a special helper called `FieldFunc` that generates`FinderFunc` functions for us, and takes away the repetitive task of breaking the string up, and iterating over each word. -
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doccano client
A simple client for doccano API
doccano-client is a simple client wrapper for the doccano API. We're introducing a newly revamped Doccano API Client that features more Pythonic interaction as well as more testing and documentation. It also adds more regulated compatibility with specific Doccano release versions. -
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refinery
Open-source choice to scale, assess and maintain natural language data
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact. You are one of the people we've built refinery for. refinery helps you to build better NLP models in a data-centric approach. Semi-automate your labeling, find low-quality subsets in your training data, and monitor your data in one place. refinery doesn't get rid of manual labeling, but it makes sure that your valuable time is spent well. Also, the makers of refinery currently work on integrations to other labeling tools, such that you can easily switch between different choices. refinery is a multi-repository project, you can find all integrated services in the architecture below. The app builds on top of Hugging Face and spaCy to leverage pre-built language models for your NLP tasks, as well as qdrant for neural search.
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