Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
HELD TRUE is positioned as a YouTube Fact-Check & Claim Verification service. Its main function is to break down long podcasts, interviews, or speech videos into a large number of verifiable claims, then assess each one as true, inexact, false, unsubstantiated, disputed, unverifiable, and so on. The site also explicitly provides a machine-readable llms.txt for AI assistants and LLMs, indicating that it is designed not only for general readers but also for use in large-model workflows.
Based on the examples, HELD TRUE displays the video title, channel, publication date, total duration, chapters, speaker share, analysis time, and the number of judgments in each category. Each claim includes the original statement, verdict, explanation, and links to external sources, making it useful for quickly understanding which claims in a long video are reliable and which are exaggerated or disputed. Its strengths are its granular classification and avoidance of oversimplifying complex facts into a binary true/false judgment; it can also handle hundreds of claims from videos several hours long. However, the main content does not disclose the AI model used, retrieval strategy, source selection criteria, or human review process. As a result, its outputs should still be treated as supporting material for fact-checking rather than a final authoritative conclusion.
The captured content does not show pricing, subscription plans, free quotas, trial information, or payment methods. In terms of integration, the only confirmed feature is the llms.txt machine-readable page, which makes it easier for LLMs or automated agents to read the site. No formal API, SDK, Webhook, or enterprise integration documentation was found. The data privacy policy is also not reflected in the main text.
Its main advantage is that it is very well suited to long-form video, significantly reducing the manual effort required to check statements one by one. The output is structured, citable, and source-backed, making it useful for media organizations, researchers, and AI assistants. The downsides are limited methodological transparency, unknown Chinese-language support, and a lack of information on monetization and service support. For highly contested areas such as politics, international relations, and medicine, professionals still need to review its sources and reasoning.
HELD TRUE is suitable for fact-checkers, media editors, research teams, content moderation teams, and developers who want AI assistants to cite video fact-checking results. The main content does not provide information about access from China, and since its core target is YouTube content, actual usability may depend on the local network environment. If alternatives are needed, consider Google Fact Check Explorer, ClaimBuster, Full Fact, or a workflow that combines video transcription with a general-purpose LLM and trusted search sources for manual review.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on heldtrue.com official site.
heldtrue.com is an United States AI Apps provider. TG4G tracks its product information, an overall rating of 7.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach heldtrue.com directly.