Multi-format AI detection across text, images, and video

Hive AI Detector analyzes content across multiple formats — not just text. The platform can identify AI-generated images from models like DALL-E and Midjourney, AI-generated video, and AI-written text from GPT-4, Claude, and other major language models. This multi-format capability matters for businesses receiving content in various forms, such as marketing assets, social media posts, and video scripts.

Business outcome: One tool covers all AI detection needs across content types, reducing the need for multiple specialized detectors.

Chrome extension for inline content verification

The Chrome extension lets users right-click any selected text on a webpage and run an AI detection check instantly. This workflow fits naturally into content review processes — editors can verify content without leaving their browser tab or switching to a separate platform.

Business outcome: Faster content verification with no context switching, reducing editorial bottlenecks.

API access for automated content pipelines

For teams processing large volumes of content, Hive offers API integration that can be built into content management systems, publishing platforms, or review workflows. The API supports batch analysis and returns confidence scores for each piece of content.

Business outcome: Automated AI detection at scale, enabling content verification without manual review for high-volume operations.

Model-level detection with confidence scoring

The platform doesn't just flag content as AI or human — it identifies which AI model likely generated the content and provides a confidence score. This granularity helps teams understand the degree of AI involvement and make informed decisions about content acceptance or rejection.

Business outcome: More informed editorial decisions based on specific AI model identification rather than binary AI/human flags.

Centralized dashboard for team-wide content monitoring

The dashboard provides an overview of all analyzed content, including detection results, confidence scores, and historical trends. Teams can filter by date, content type, or AI model to identify patterns in AI content usage across their organization.

Business outcome: Visibility into AI content trends across the organization, supporting policy enforcement and audit readiness.

Exportable reports for compliance and auditing

Hive generates reports that can be exported for compliance documentation, internal audits, or client communication. The reports include detection results, timestamps, and confidence scores for each piece of analyzed content.

Business outcome: Auditable records of content verification activities for compliance with AI disclosure regulations.

• Multi-format detection beyond textMost AI detectors focus on text only — Hive covers images and video, making it more versatile for teams handling diverse content types.
• Chrome extension workflowThe right-click detection workflow is practical for editors who need quick verification without switching tools.
• Model-level identificationKnowing which AI model generated content (GPT-4 vs Claude vs Midjourney) provides more actionable information than a simple AI/human flag.
• Free tier for evaluationThe free plan allows teams to test detection accuracy on their own content before committing to a paid plan.

• False positive rate on human-written contentLike all AI detectors, Hive can flag human-written content as AI-generated, particularly for formal or technical writing that follows predictable patterns.
• No plagiarism detectionHive detects AI generation patterns but does not check for copied or plagiarized content — teams need a separate tool for originality checks.
• Browser extension only for free tierThe free plan is limited to the Chrome extension — no API access or dashboard features without upgrading to a paid plan.
• Accuracy varies by content typeDetection accuracy is higher for longer text passages and specific AI models, but shorter content or heavily edited AI text may produce less reliable results.

Editorial teams screening freelance submissions

A publisher receiving dozens of freelance articles daily can use the Chrome extension to quickly verify each submission. If content is flagged as AI-generated without disclosure, the team can reject it or request rewrites. This protects editorial standards and reader trust.

Marketing agencies auditing client content

Agencies managing multiple client accounts can use the dashboard to monitor AI content across all campaigns. If a junior team member uses AI without disclosure, the agency can address it before the client sees the output.

Enterprise compliance teams enforcing AI policies

Organizations with internal AI usage policies can use Hive's API to automatically screen content before publication. This creates an audit trail and ensures compliance with company guidelines on AI-generated content.

Academic integrity offices reviewing submissions

Academic institutions can integrate Hive into their submission review process to identify AI-generated student work. The model-level identification helps distinguish between legitimate AI assistance and full AI authorship.

Install the Hive AI Detector Chrome extension from the Chrome Web Store.

Sign up for a free account to activate your daily analysis quota.

Select any text on a webpage, right-click, and choose 'Detect AI content' to run your first analysis.

Review the confidence score and model identification in the popup window to determine next steps for the content.