Educational guest post services, EDU backlinks, and publisher outreach for SEO campaigns.
Educational guest post services, EDU backlinks, and publisher outreach for SEO campaigns.
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Find people, organizations, locations and other named entities in English text. Compare a target with reference content to see which names were detected in the inspected text.
Exports contain all report rows, including detected names and source URLs, regardless of filters. Full source text is not included. Keep downloads private if your sources are sensitive.
Paste English text or fetch a public page. Choose extraction to inspect one source, or comparison to check a target against up to two references. Agree to the first-use download, then analyze. Review each predicted name in its original passage before making editorial decisions.
First use downloads approximately 135 MB of model and browser runtime assets. Phones and low-memory devices may struggle; try shorter text or a desktop browser. No paid inference API or API key is required. URL mode uses shared verification and check limits. A retrieved source batch uses one URL check even if the browser model later fails.
This named-entity tool complements the Topical Gap Analyzer; it does not replace a broader topic review. It does not edit your content.
This English model predicts people, organizations, locations and miscellaneous named entities. Predictions can be wrong or incomplete. It does not identify every topic, verify facts, resolve aliases or report Google Knowledge Graph entities.
Pasted text and entity inference stay in your browser. In URL mode, this website retrieves the submitted public pages and returns extracted text to your browser. Fixed model/runtime downloads contact their asset hosts but do not include submitted text. This module does not store source text or reports.
No paid inference API or API key is required. The browser downloads a version-pinned open model and runtime after you start analysis. These are large assets and may be cached for later use; browser memory, network availability and device speed affect processing.
It means a normalized named surface form and predicted type were detected in inspected reference text but not in inspected target text. It is not proof that a topic is missing, that two names represent different real-world entities, or that adding names will improve rankings.
Failures, omitted text, limits and unrequested sources remain visible. URL mode requires public English HTML with at least 100 and at most 8,000 extracted words. A batch with one prepared source consumes one URL check even if browser model processing later fails; pasted text does not consume server check quota.