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Overleaf Labs

This is where we share our latest experiments and "work in progress" features.

Welcome to Overleaf Labs! Labs is where we share early-stage experiments and work-in-progress features. We invite you to try them out, tell us what you think, and help us decide what to build next.

Labs experiments are different from our standard features. They are released earlier in the development cycle—sometimes as rough prototypes—so that we can gather real-world feedback before committing to a full release. You should expect rough edges.

To see all current experiments and opt in, visit the Labs sign-up page.

What to expect from a Labs experiment

  • Experiments are opt-in. You will not be enrolled automatically.

  • An experiment can be changed or removed at any time, without notice.

  • Each experiment includes a feedback link. We read everything you send.

  • If an experiment goes well, it may progress to a full beta or release feature.

  • If an experiment does not go well, it may be quietly retired.

Risks and limitations

Because Labs features are experimental, there are some risks to be aware of:

  • An experiment may occasionally behave unexpectedly or have unintended interactions with other features.

  • Some experiments may affect how your project compiles or how collaborators see your document.

  • Experiments are not covered by our standard support guidance. We will do our best to help, but we cannot guarantee a resolution for issues caused by experimental features.

Each experiment on the Labs sign-up page notes any specific risks relevant to that experiment. Please read these before opting in.

How to join or leave an experiment

All current experiments are listed in the Labs sign-up page. Each experiment has its own opt-in toggle. You can leave any experiment at any time using the same control—your work and settings will not be affected.

Providing feedback

Each experiment has a dedicated feedback survey, linked from its entry on the experiment. Please use the survey to share your experience—both positive and negative feedback is genuinely useful. If you have urgent concerns (for example, you think an experiment has caused data loss), please contact Support directly as well as filing feedback.

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