Images · video · audio · text

A data labeling service that answers in minutes, not weeks.

Rapidata is a data labeling service with an API in front of 32M+ vetted people across 190+ countries. Send your datapoints and an instruction, choose how many people should answer each one, and get labels back at over 300,000 responses per hour.

Try a free demoSee pricing
01what we label

Every common annotation task, on every modality.

Most labeling projects reduce to a handful of task shapes. Rapidata ships each of them as a ready-made task interface, so there is no annotation tool to build, host or staff.

  • ClassificationPick a category, or rate on a Likert scale, for images, video, audio and text.
  • ComparisonShow two candidates and ask which is better, more accurate or more natural; the basis for preference data.
  • LocatePoint out glitches or mark certain areas to build detection and grounding datasets.
  • Select wordsHighlight the words in a prompt or caption, for example what part of the prompt is not represented in the image or video.
  • Free textCollect short written answers from users worldwide. This may include comments, feedback and more.
02quality

Quality you can measure, not a promise in a contract.

Every annotator is onboarded with questions whose answers are known. Gold-standard tasks stay mixed into the regular stream, and every person carries a running reliability score that corrects for chance, per task type and per modality.

Because each datapoint is answered by several people, you get an agreement signal with every label, not just the label itself. Disagreement is data: it flags ambiguous items before they reach your training set.

03how it works

One API call per labeling job, or one sentence to your agent.

Create a job with the Python SDK: your datapoints, the instruction and the task type. Watch the results stream in and receive an aggregated result file, with per-response metadata such as country, language and annotator score.

Working with a coding agent? The SDK ships agent skills, so onboarding is as simple as pointing your agent at the SDK and describing what you want labeled; it sets up the job for you.

Start with $20 of free credit, then pay $4 per 1,000 responses. There are no seat licences, no minimum volume and no workforce to manage.

04where it fits

Same crowd, same API, different shapes.

Evaluate

Human evaluation

Score image, video, audio and LLM outputs with real people.

Human evaluationTarget

Multilingual & demographic panels

Label with native speakers, and break results down by country or demographic.

AudiencesBuild

Python SDK

Create labeling jobs, follow results and export them from your own pipeline, or let your coding agent do it.

Docs

Data labeling service FAQ

Can't find the answer you're looking for?Contact our support team at info@rapidata.ai!

A data labeling service has people annotate raw data, such as tagging images, rating text or comparing audio clips, so it can be used to train or evaluate machine learning models; Rapidata delivers that through an API to a global crowd.

Rapidata labels images, video, audio and text, as well as combinations such as an image together with the prompt that generated it.

First responses typically arrive within seconds, and priority jobs run at over 300,000 responses per hour, so most labeling jobs finish the same day.

Yes: the Rapidata Python SDK ships agent skills, so you can point a coding agent at the SDK, describe the data and the question, and it creates the job for you.

Usage-based labeling costs $4 per 1,000 human responses, and every new account starts with $20 of free credit.