The ultimate open-source text annotation tool with human-in-the-loop workflows. Create labeled datasets, annotate documents with AI, and prepare training data for NLP and LLM evaluation.
Everything you need for professional text annotation, document labeling, and training data preparation
Let AI annotate your documents while you review. Supports Ollama, LM Studio, OpenAI, Anthropic, Gemini, and more.
Perfect balance of AI speed and human accuracy. Review, accept, reject, or modify AI suggestions with ease.
Annotate multiple documents at once with batch workflows. Process entire projects efficiently.
Define your own annotation labels with colors, descriptions, and AI rules for consistent labeling.
Import PDF, DOCX, TXT, Markdown. Export annotated datasets in JSON, CSV, or as documents.
Your data stays on your machine. Works offline with local LLMs like Ollama.
Learn AnnotaLoop in under 4 minutes with our comprehensive video guides
~4 min
Create project, configure labels, annotate with AI, review, and export
Free, open-source data annotation software for macOS, Windows, and Linux
Other platforms:
From research to production, AnnotaLoop scales with your annotation needs
Create labeled datasets for NLP research and thesis projects
Prepare training data for document classification and NER
Create RLHF datasets and ground truth data for LLM evaluation
Offer professional data annotation services
Final-year Master's (M2) student in NLP at Université de Lorraine (IDMC). Focus: LLM fine-tuning, RAG pipelines, Annotation Workflows, and model interpretability—from data to modeling to evaluation to deployment.
AnnotaLoop is open-source and free forever. If you find it useful, consider starring the repo on GitHub!