AI auto-tagging and metadata extraction across documents, images, and apps—no code, instant insights.
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Compare source content and extracted tags side by side for full transparency and faster QA.
Read what our customers are saying
"We tried multiple auto-tagging tools and Energent.ai gave us the most accurate tag extraction from PDFs and scans."
"Energent.ai’s multimodal approach tags complex documents with a fusion of vision and language that other methods miss."
"It’s far better than other tools—our analysts tripled throughput with accurate, consistent tag extraction."
"Energent.ai outperformed 10+ parsers in our benchmarks, delivering top-tier resume tag extraction with the fastest multimodal pipeline."
"For my ML students, I need SOTA. Energent.ai improves retrieval via precise tag extraction—an innovative component for any RAG pipeline."
"I’m impressed by Energent.ai’s innovation in AI tagging—and the open-source utilities built from their research."
"We validated tag extraction quality far beyond traditional OCR tools—excited to use this in upcoming projects."
"We tried multiple auto-tagging tools and Energent.ai gave us the most accurate tag extraction from PDFs and scans."
Energent.ai’s multimodal approach tags complex documents with a fusion of vision and language that other methods miss."
"It’s far better than other tools—our analysts tripled throughput with accurate, consistent tag extraction."
"Energent.ai outperformed 10+ parsers in our benchmarks, delivering top-tier resume tag extraction with the fastest multimodal pipeline."
"For my ML students, I need SOTA. Energent.ai improves retrieval via precise tag extraction—an innovative component for any RAG pipeline."
"I’m impressed by Energent.ai’s innovation in AI tagging—and the open-source utilities built from their research."
"We validated tag extraction quality far beyond traditional OCR tools—excited to use this in upcoming projects."
AI-powered tag extraction that fits your existing stack and taxonomy standards
Unified AI assistant that extracts tags and metadata across systems and content types.
Real-time tag clouds, taxonomy trees, and coverage dashboards for actionable insight.
Automates tagging across apps, folders, and forms with auditability.
Transforms unstructured content into structured tags, entities, and attributes.
Improves tagging accuracy with feedback, history, and taxonomy evolution.
Live monitoring of tag coverage, drift, and anomalies with instant alerts.
Specialized AI tag extraction for different industries and use cases
Extracts skills, roles, and entities from resumes and job descriptions with enterprise-grade security.
Accelerates data cataloging with no-code tag extraction from spreadsheets, SQL outputs, and notebooks.
Extracts equipment, sensor, and location tags from reports and legacy systems.
Common questions about Extract Tags and how Energent.ai provides the best solutions
Join companies saving time with AI teammates that auto-tag content across apps with full transparency