annotaid

Natural-language Open Text Annotation

Annotate and classify texts using a local language model. Test prompts on single inputs, then apply them to an entire CSV column — and export the results.

1
Start your local LLM service (e.g., LM Studio or Ollama), load the model(s) you want to use, and enable the local server.
2
Connect by clicking the settings button, selecting your provider, entering the server URL, and saving.
3
Select a model from the dropdown below.
4
Write a prompt in the CONTEXT field — this is the instruction your model will follow for every item.
5
Test your prompt on a single text in the TEST tab, then switch to BATCH to process a full CSV column.
context ~0 tokens
text
Enter to send · Shift+Enter for new line
Drop a CSV file here, or click to browse
comma · semicolon · tab separated
    coding