Research, with the source in view

Make every document count.

Annotology helps researchers turn text, scans, and audio into a reviewed annotation corpus — with your schema, your vocabulary, and human judgment at the centre.

Desktop application for macOS and Windows

PROJECT / ORAL HISTORY
SOURCE → SCHEMA → REVIEW
Annotology / Documents Local workspace
DOCUMENT 04 / REVIEW

Interview with M. De Smet

Needs review

The archive opened a new line of conversation about neighbourhood memory and the work of the local association.

We kept the recordings because the pauses mattered too — not only the words that made it onto the page.

Entity · PLACEGrounded in source text
HUMAN
REVIEWED
Import source material Shape your schema Review grounded suggestions

A workspace for careful reading

A calmer path from source to corpus.

Research projects are full of decisions: what counts as an entity, how a relation is grounded, when a suggestion is worth keeping. Annotology gives those decisions a clear place to live.

Work locally on your machine, keep the source visible, and move from imported material to a coherent, reviewed corpus without losing the context behind an annotation.

Start with the desktop app
01

Source stays visible

Keep text, scans, and audio close to the annotations they ground.

02

Your schema, your vocabulary

Define project-specific labels, fields, and relations for the work at hand.

03

Review stays human

Use local assistance as a grounded suggestion, then verify it yourself.

The workflow

Three moves. One reviewed corpus.

A project-shaped workflow for source-rich research.

01

Bring your sources together

Import documents, scanned pages, images, and audio into a project workspace built around your material.

SOURCE MATERIAL
02

Give the project a language

Shape the schema that fits your research: entity labels, relations, document labels, and project fields.

PROJECT SCHEMA
03

Review what the models suggest

Local model assistance helps you move through the corpus while grounded source context and human review stay in control.

HUMAN REVIEW

Built for the work between the lines

Keep the thinking with the evidence.

The interface stays quiet so the research can stay specific.

A / 01

Project-specific structure

Make the annotation model fit the questions your corpus is asking.

B / 02

Grounded assistance

Suggestions stay tied to the source text so you can inspect the reasoning in context.

C / 03

Local by design

Keep the desktop workflow and its project data close to your own research environment.

Ready when your sources are

Bring Annotology to your desk.

Download the desktop application for your platform and start a project around the material you want to understand.

Choose your installer below