ALOMAR EYES OCR

How to repair a stuck job application with OCR rules

Alomar Eyes helps when a supported Indeed or LinkedIn workflow stalls on visible text, a missing button, a retry prompt, a scroll step, or a saved checkbox. It does not bypass identity checks or CAPTCHA. It records what it saw, the saved rule used, the target, and the next recommendation.

Step-by-step OCR setup

Open the stuck Indeed or LinkedIn tab and keep the Alomar Apply panel visible.
Click Scan OCR. The banner stays short while the full OCR details save to the OCR log.
Open Edit OCR rules and add one short visible phrase, such as “Try again” or “Submit your application”.
Choose the action: click target text, checkbox, scroll, refresh, retry, save answer, highlight, or detect only.
Press Add rule. The rule saves immediately to this Chrome profile and syncs to the website snapshot after connection.

Best rules to save first

Start with safe recovery rules: “Try again” to retry, “Something went wrong” to refresh, “Continue” to click the next step, and known required questions to save truthful answers. Keep final submission rules in Review Mode unless you intentionally allow saved submit clicks.

What OCR logs include

Each OCR event can include platform, URL, matched text, visible buttons, visible questions, target text, action, attempts, mouse settings, errors, and a repair recommendation. These logs help support diagnose stuck loops without exposing passwords or license secrets.