Synthetic Media AI⚡ Limited Risk6/10

D-ID

AI platform for creating digital human videos and talking avatar content from still images. Creates photorealistic AI-generated human presenters for video communications.

⚡ EU AI Act Risk Classification

Indicative classification: Limited Risk

Legal reference: Article 50(4) — synthetic audio-visual content depicting persons

Important: This is an indicative assessment based on typical deployment patterns. Your actual risk classification depends on your specific use case, configuration, and context. Register in Aeqora to get a precise classification using the EU AI Act decision tree.

Your obligations as a Deployer

→Article 50(4) deepfake labeling for AI-generated human videos
→Disclose synthetic nature to video audiences
→Do not use to create realistic likenesses of real persons without consent
→Content Credentials recommended for provenance

How this score was derived

Methodology →

Scores 6/10: D-ID creates photorealistic AI human presenter videos — Article 50(4) deepfake labeling obligation applies when distributed publicly. No EU Declaration of Conformity published as of the index date. Score of 6 at the upper end of limited risk reflects the photorealistic human likeness that directly triggers the deepfake labeling provision and this absence of provider compliance documentation.

Provider EU AI Act documentation

D-ID has not yet published dedicated EU AI Act compliance documentation. Contact them directly to request instructions of use and ask about their compliance roadmap.

What to do next

01

Register in Aeqora

Add D-ID to your AI system inventory and run the classification wizard for your specific deployment.

02

Request vendor docs

Ask D-ID for their EU AI Act instructions of use and technical documentation.

03

Generate compliance pack

Generate your Article 26 Deployer Compliance Evidence Pack once classification is complete.

Cite this assessment

Vendor? Request a correction →

Aeqora. "D-ID — EU AI Act Risk Assessment." Aeqora Vendor AI Risk Index. Verified 2026-06-14. https://aeqora.eu/vendors/d-id

Scores are methodology-derived and citable under CC BY. View methodology →

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