Avancer Document Fact-Checker vs Crowdee

Avancer Document Fact-Checker extracts factual claims from PDF documents and checks them against live web sources. Each claim receives a verified, unverified, or source-not-found verdict, along with evidence and a confidence score. The service checks for factual errors, fabricated citations, and misinformation, and estimates how much of a document was written by AI. Its page estimates about 20 seconds of scanning per 1,000 words. Documents can be checked through the web service, self-hosted options, or an API that accepts a document URL or raw text and returns claim-level results with evidence and sources. Claim extraction and verification are listed for more than 70 languages. Files are processed for the scan and deleted afterward; documents are not used to train models or shared. A free plan includes one scan. Basic costs $12.99 per month and includes 1,299 monthly credits, text scanning, API and webhook access, email support, and PDF report export. A seven-day trial is listed. The maker also lists SOC 2 Type II and GDPR compliance, with ISO 27001 in progress.

Crowdee is a content-verification platform for checking articles, social posts, images, audio, video, documents, URLs and claims. It combines automated triage with access to more than 1 million screened crowd workers, who can provide independent verdicts, reviewer agreement and written reasoning. Its 14 pipelines cover media, text and documents, social and web context, identity and multi-file checks; automation, APIs and scheduled pipelines support different workflows. Evidence and reviewer feedback can be exported in a PDF dossier for editorial or legal review. Pay-as-you-go and higher plans include a REST API. The free plan allows one image check per IP address every 24 hours, with uploads up to 10 MB. Pay-as-you-go costs €0.05, paid once, with no commitment. Managed Campaigns and Enterprise use custom pricing. Crowdee lists hosting on dedicated servers in German data centres, with automation hardware in Berlin, and says customer content is not used to train foundation models. It is aimed at newsrooms, compliance teams and AI researchers.