# Full Fact AI review > Full Fact AI is a specialized software suite created by the UK fact-checking charity to monitor media streams, isolate verifiable claims, and match repeated misinformation. - Canonical: https://toolsrankai.com/tools/full-fact-ai - Official site: https://fullfact.org/ai/ - ToolsRank rank / score: #567 / 70.9 (methodology https://toolsrankai.com/methodology) - Categories: AI Research & Search, AI Fact-Checking & Verification - Pricing: Paid licence (contact vendor). As of September 2026, Full Fact AI is provided to organisations via a paid licence upon enquiry. Public pricing tiers are not published on the site, so potential users should contact Full Fact directly for terms. - Fact-checked: 2026-09-08 · First listed: 2026-09-23 ## Verdict Full Fact AI is well suited for investigative newsrooms, civic watchdogs, and fact-checking bodies handling large volumes of political and broadcast information. It is not suitable for individuals or teams looking for an automated truth-grading bot that dispenses with human editorial review. ## What it is Full Fact AI is a suite of machine-learning tools developed by Full Fact, the UK's independent fact-checking charity, to scale up the detection and verification of misinformation. Operating since 2016, the system handles media monitoring across online news sites, speech from live TV, podcasts, and social media channels. Data is ingested into a user interface where text is segmented into individual sentences for processing. The system uses a claim-type classifier powered by a fine-tuned BERT model, trained on Full Fact's annotated dataset. This classifier isolates checkable statements—such as claims about quantities or cause-and-effect—while filtering out unverifiable statements like predictions. Claims are then categorized by topics, such as health or the economy, helping editorial teams triage large volumes of information. To identify repeats of previously addressed falsehoods, Full Fact AI employs a matching pipeline. This combines sentence vectorization, entity analysis, and generative AI models to detect matches even when claims use different wording. The tools do not automate verdicts; rather, they surface candidates for human journalists to investigate, whose findings can be published using ClaimReview markup for integration into search engines like Google. **What makes it different:** Unlike generic transcription or LLM summarisation products, Full Fact AI is custom-engineered by frontline fact-checkers to isolate checkable factual assertions and trace repeat appearances of previously debunked claims across multimodal feeds. **Best for:** fact-checking newsrooms, media monitoring teams, and civil society groups needing to detect checkable statements and repeated misinformation across high-volume media feeds. **Not ideal for:** teams seeking fully automated verdict generation without human reviewers, or general users wanting a consumer chat assistant. ## Key features - **Multimodal Data Ingestion** — Monitors and extracts text from online news sites, live television speech, audio podcasts, and social media channels into a unified interface. - **Sentence-Level Claim Labelling** — Applies a fine-tuned BERT model to isolate checkable factual assertions—such as quantities and causality—while filtering out unverifiable predictions. - **Topic Categorisation** — Sorts identified claims into topic areas like the economy and health to streamline review for specialized beat journalists. - **Repeat Claim Matching** — Uses sentence vectorization, entity analysis, and generative AI to surface repetitions of previously fact-checked claims despite phrasing variations. - **ClaimReview Schema Integration** — Assists publishers in marking up completed human fact checks using schema.org ClaimReview structured data for search engine visibility. ## Use cases - **Broadcast and Podcast Monitoring** — Extracting and transcribing long-form audio to quickly flag suspicious or misleading health claims without manual listening. - **Tracking Political Repeat Claims** — Alerting journalists when public figures repeat specific misleading statistics that have already been scrutinized and debunked. - **Election Triage** — Managing high daily sentence volumes during electoral cycles to keep pace with rapid political discourse and media coverage. ## Pros - Built and battle-tested by an accredited, professional fact-checking organisation. - Filters out non-checkable language such as future predictions to reduce cognitive fatigue. - Combines entity extraction and generative models to match claims with varying wording. ## Limitations - Does not automate the fact-checking verdict itself; requires human editorial investigation. - Access is restricted to paid institutional licensing and is not openly available for self-service sign-up. - Documented daily operational support is focused on selected languages rather than universal global coverage. ## Pricing As of September 2026, Full Fact AI is provided to organisations via a paid licence upon enquiry. Public pricing tiers are not published on the site, so potential users should contact Full Fact directly for terms. Vendor prices and limits change; verify on the official pricing page before purchasing. ## Score factors - editorial: 78 (editorial) - utility: 76 (editorial) - trust: 85 (editorial) - freshness: 74 (editorial) - engagement: 7 (measured) - momentum: 50 (measured) ## Languages, platforms, integrations - Languages: English, Arabic - Integrations: ClaimReview (schema.org), Google Fact Check Explorer ## FAQ ### Does Full Fact AI automatically determine whether a claim is true or false? No. Full Fact emphasizes that the AI does not replace human experts. The technology collects data, isolates checkable sentences, and flags repeats of previously checked claims, but the actual investigation and adjudication are conducted offline by human fact-checkers. ### What kind of media can Full Fact AI monitor? According to the official documentation, users can configure the system via a simple UI to monitor online news websites, live television speech, podcasts, and social media pages. ### How does the claim classifier work? Full Fact AI uses Google Research's BERT model, fine-tuned on Full Fact's proprietary annotated dataset. It categorizes checkable claim types—such as figures and cause-and-effect statements—while filtering out unverifiable predictions. ### How can an organisation get access to Full Fact AI? The tools are available to external organisations under a paid licence. Interested newsrooms, civic groups, and platforms must reach out to Full Fact directly to arrange testing or licensing. ## Alternatives - [Consensus](https://toolsrankai.com/tools/consensus) — An AI search engine over peer-reviewed research that summarises what studies actually found. - [Perplexity](https://toolsrankai.com/tools/perplexity) — An answer engine built around current web research and visible citations. ## Sources checked - [Full Fact AI Official Page](https://fullfact.org/ai/) --- Cite https://toolsrankai.com/tools/full-fact-ai for ToolsRank's editorial judgment; verify changing vendor facts through the sources above. Reviewed 2026-09-08.