Built for AI & ML data teams

Annotate data for AI, without the overhead

Create projects, upload datasets, define labels and annotate text and images in a clean, fast workspace built for teams — with review, progress tracking and one-click export.

No credit card required to explore the workspace.

6

Annotation types

1M+

Items per workspace

2

Export formats

100%

Your data, exportable

Everything a labeling project needs

The essentials, done well — no bloated tooling, no setup weekend.

Dataset upload

Bring CSV or plain-text files and turn every row into an annotation item in seconds.

Custom labels

Define a label set per project with colors, shortcuts and clear descriptions.

Fast workspace

Item list, content pane and labels side by side — save, skip and move on without friction.

Review workflow

Move projects from Draft to Active, Review and Completed with progress tracked live.

Team roles

Invite teammates, track contributions and keep admin controls separated from day-to-day work.

CSV & JSON export

Export finished annotations in the format your training pipeline already expects.

Six annotation types out of the box

Text and image workflows share the same simple workspace.

Text Classification

One label per document or row.

Text Labeling

Multi-label tagging for longer text.

Named Entity

Highlight spans for people, places, skills.

Image Classification

Assign a single class per image.

Image Bounding Box

Draw boxes around objects of interest.

Image Tagging

Attach multiple tags to each image.

From raw file to labeled dataset

Four steps, usually under ten minutes.

01

Create a project

Pick an annotation type and describe the goal.

02

Upload a dataset

Drop in a CSV or text file; items are generated automatically.

03

Define labels

Set up the label set your annotators will use.

04

Annotate & review

Work through items, mark complete and export results.

A workspace that stays out of the way

Dataset items on the left, content in the center, labels on the right. Previous, Save, Skip, Next and Mark Complete — that is the whole interface.

  • Live progress like 125 / 500 completed
  • Keyboard-friendly label selection
  • Skip ambiguous items and come back later
  • Completion state saved per item
Try the workspace

Items

#124
#125
#126
#127

Content

“Seeking an agronomist with 3+ years of field experience in irrigation planning and soil analysis.”

125 / 500 completed

Labels

Agriculture
Engineering
Logistics

Teams shipping better datasets

We moved off spreadsheets in a day. Uploading a CSV and getting a working annotation queue is exactly what we needed.

Dina Prasetyo

ML Lead, Agritech Labs

The review workflow keeps quality honest. Progress per project is visible without chasing anyone for updates.

Afwan Hariri

Data Program Manager

Export to JSON drops straight into our training pipeline. No glue scripts, no cleanup step.

Marcus Vale

Founding Engineer, Loomly AI

Simple annual pricing

One yearly payment in USD. No per-seat surprises.

Frequently asked questions

What file formats can I upload?

CSV and plain-text files. Each row or line becomes an annotation item you can label immediately.

Can several people annotate the same project?

Yes. Invite teammates from the Team page — your plan defines how many members can join a workspace.

How do I get my results out?

Every project exports to CSV or JSON from the project page, including labels and completion state.

How does billing work?

Plans are billed annually in USD. Your subscription page shows the plan, dates, renewal state and downloadable invoice.

Can I change plans later?

Yes. Use Change Plan on the subscription page; the new allocation applies to your workspace right away.

Start labeling today

Set up your first project, upload a dataset and export results the same afternoon.

Get started