Create photoreal talking videos with AI-driven video tools
D-ID is an AI video platform that converts photos and text into photorealistic talking-head videos and avatars. It is ideal for marketers, e-learning teams, and media studios needing fast, lip-synced video from text or audio. Pricing is accessible with a free tier for trials and paid plans that scale by video minutes and API calls for production.
D-ID is an AI video company that converts photos and text into photorealistic talking-head videos and avatars. The core capability is generating lip-synced, natural-looking speech from text or audio, plus live avatars and Face Reenactment for short video edits. D-ID stands out for its Talking Head studio, API for automated production, and privacy-focused consent controls, serving marketers, learning teams, and media studios. Pricing is accessible with a free tier for basic trials and paid plans that scale by video minutes and API calls.
D-ID launched as a startup focused on face de-identification and evolved into a video-AI studio offering photoreal talking-head generation, Deep Learning-based reenactment and avatar products. Headquartered with origins in Israel, D-ID shifted from privacy tech to creative video tools and positions itself as a platform for businesses to produce personalized video content without traditional cameras. Its core value proposition is converting still images and scripted text into believable, lip-synced video segments, reducing production time and cost while including consent/usage safeguards for likenesses.
The product surface includes the web-based Talking Head Studio, Live Portraits, Reenactment, and a REST API. Talking Head Studio turns single photos into fully lip-synced videos from text or uploaded audio, allowing custom voice uploads or D-ID’s text-to-speech voices. Reenactment maps a source video’s motion to a target image to animate expressions and head movement. Live Portraits produces short looping animations from a still image. The API enables batch creation, programmatic templates, and webhooks for workflows; it supports video outputs in MP4 and configurable resolution settings. D-ID also offers identity and consent workflows — customers can upload consent forms and manage allowed uses to reduce misuse risk.
Pricing is tiered and usage-based with a Free plan for testing and paid subscriptions plus enterprise custom pricing. The Free tier includes a limited number of trial video credits and watermark on exports (suitable for evaluation). Paid plans buy video minutes and API call quotas; D-ID’s standard subscription model sells monthly video generation minutes, higher-resolution exports, removal of watermarks, and commercial license terms. Enterprise contracts add SLAs, higher throughput, single sign-on, and privacy/compliance terms. Exact per-minute prices and API quotas change frequently and are set on the D-ID pricing page or via sales for enterprise customers.
D-ID is used by marketing teams to create localized ad variations, by L&D managers producing employee training modules with on-demand instructors, and by media studios prototyping interviews without a shoot. Example users: a Content Marketing Manager generating 100 personalized product demo videos per month; an Instructional Designer producing 50 short narrated lessons with on-brand avatars. For companies that need on-prem or extremely high-fidelity VFX pipelines, dedicated animation vendors like Synthesia or traditional production may still be preferable; D-ID is strongest where rapid, scalable avatar video generation and consent management matter most.
Three capabilities that set D-ID apart from its nearest competitors.
Current tiers and what you get at each price point. Verified against the vendor's pricing page.
| Plan | Price | What you get | Best for |
|---|---|---|---|
| Free | Free | Limited minutes per month, watermark on videos, no production API calls | Individual creators testing short videos and features |
| Custom | Custom | Paid plans scale by video minutes, API calls and resolution tiers | Enterprises needing production API and large video volumes |
Copy these into D-ID as-is. Each targets a different high-value workflow.
Role: You are a video scriptwriter for D-ID creating one-shot personalized talking-head marketing scripts. Constraints: produce 3 distinct scripts, each 30–45 seconds (~60–90 words), include the personalization token {first_name} at least once, state exactly two product benefits, use a friendly conversational tone, end with a single clear CTA. Output format: return a JSON array of 3 objects: {"headline","script","estimated_seconds","recommended_voice","suggested_photo_description"}. Example object: {"headline":"Quick Save Demo","script":"Hi {first_name}, I’m Alex...","estimated_seconds":35,"recommended_voice":"female_warm","suggested_photo_description":"smiling founder portrait"}. Ready for D-ID text-to-video input.
Role: You are an instructional designer creating a 90-second voiceover for a D-ID avatar. Constraints: produce one ~90-second script (≈160–190 words) in plain language, list 3 learning objectives at the top, include one short illustrative example, finish with one formative quiz question, include SSML suggestions for two emphasis points. Output format: provide the script with timestamps every 15 seconds and an SSML-enabled version below (use <emphasis level="moderate"> tags). Example objectives: "Define X; Identify Y; Apply Z." Deliver a single ready-to-upload script and SSML.
Role: You are a growth marketer writing short talking-head scripts for D-ID to A/B test social audiences. Constraints: create 8 A/B pairs (16 scripts total), each 12–18 seconds; Variant A: energetic hook (first 3s), Variant B: data-driven hook; body 8–10s, CTA 2–4s; include recommended thumbnail text (max 6 words) and target persona tag. Output format: JSON array of 16 objects: {"persona","variant","script","length_seconds","thumbnail_text","tone","recommended_voice"}. Example entry: {"persona":"young_professional","variant":"A","script":"Hey {first_name}...","length_seconds":15}. Produce concise KPI suggestion for each pair.
Role: You are a developer preparing API payloads for D-ID automated video production. Constraints: produce a template JSON array for 5 recipients with placeholders: {recipient_id},{photo_url},{script_text},{voice_id},{language},{consent_id},consent:true,callback_url,scheduled_time(ISO8601). Include metadata tags and max_video_length_seconds. Output format: JSON array named "jobs" with five example objects and a short field-by-field description. Provide one fully populated example object to demonstrate structure and a note about required consent verification.
Role: You are a Senior Learning Video Producer creating an end-to-end plan to localize 50 short D-ID lessons into Spanish, French, and German. Multi-step constraints: include naming convention, batch chunking (max 10 lessons per batch), voice timbre mapping per language (3 options), captions and accessibility checklist, consent & privacy steps. Output format: numbered production plan (steps), CSV column headers for the batch upload, and a sample localized script for Lesson 1 in three languages (one paragraph each). Also provide recommended D-ID API parameters for preserving speaker identity and captions. Keep budget-friendly strategies.
Role: You are a marketing automation engineer producing personalized onboarding talking-head scripts for D-ID. Few-shot examples (input -> output) first: 1) {first_name: "Lina",plan:"Pro"} -> "Hi Lina, welcome to Pro..."; 2) {first_name:"Marco",role:"Manager"} -> "Marco, as a Manager..."; 3) {first_name:"Asha",goal:"sales"} -> "Asha, to boost sales...". Now generate 10 CSV-ready rows with columns: recipient_id,first_name,email,script_A,script_B,voice_id,photo_url,language. Constraints: each script 40–55 seconds, include one personalization token and one company-specific CTA, provide SSML hints for emphasis and one pronunciation hint per row. Output format: CSV rows only.
Choose D-ID over Synthesia if you prioritize photorealistic face reenactment from real photos, stricter contributor consent controls, and API-driven bulk production.
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