HeyGen API
APIFreeAI avatar video generation in 175+ languages.
Capabilities13 decomposed
autonomous-video-generation-from-text-prompt
Medium confidenceGenerates complete talking-head videos from a single natural language text prompt without requiring explicit avatar or voice selection. The Video Agent model (v3) uses an autonomous decision-making pipeline that selects appropriate avatars, voices, gestures, and pacing automatically, then synthesizes the final video asynchronously at $0.0333/second. This eliminates the need for users to manage avatar/voice configuration, making it ideal for rapid prototyping and high-volume automated video generation workflows.
Uses an autonomous decision-making model that eliminates manual avatar/voice/gesture configuration, contrasting with traditional avatar APIs that require explicit selection of avatar ID and voice ID before generation
Faster time-to-video than Synthesia or D-ID for users who don't need avatar customization, since the AI handles all creative decisions automatically rather than requiring upfront configuration
photo-avatar-talking-head-synthesis
Medium confidenceConverts a single still photograph of a person's face into an animated talking-head avatar that can deliver scripts with synchronized lip movements and natural gestures. The Photo Avatar capability uses Avatar IV model to perform face detection, 3D facial mesh reconstruction, and real-time animation synthesis, then applies the Starfish TTS engine to generate audio and lip-sync it to the animated face. Processing is asynchronous and billed at $0.05/second of generated video, supporting 175+ languages for voice output.
Reconstructs 3D facial mesh from a single 2D photograph and applies real-time animation synthesis with automatic lip-sync, rather than using pre-recorded video footage like Digital Twin, making it faster and cheaper ($0.05/sec vs $0.0667/sec) for single-image avatar creation
More affordable than Digital Twin for one-off avatar creation from photos, and faster than Synthesia's photo avatar feature due to streamlined 3D mesh reconstruction pipeline
model-context-protocol-mcp-integration
Medium confidenceIntegrates with the Model Context Protocol (MCP) to enable AI agents and LLMs to call HeyGen capabilities as tools within their reasoning loops. MCP integration allows language models to autonomously decide when to generate videos, select appropriate parameters, and handle results as part of multi-step reasoning tasks. Specific MCP schema, tool definitions, and integration details are not documented; only mentioned as available alongside 'Agentic CLI' and 'Skills'.
Provides MCP integration enabling LLMs and AI agents to autonomously call HeyGen as a tool within reasoning loops, rather than requiring explicit API calls from application code
Enables AI agents to generate videos as part of autonomous workflows without explicit orchestration code, compared to manual API integration
pay-as-you-go-per-second-billing-with-quality-tiers
Medium confidenceImplements a granular pay-as-you-go billing model where each HeyGen capability is priced per second of generated or processed video/audio, with quality/latency tradeoffs available for some operations. Video Agent costs $0.0333/sec, Photo Avatar $0.05/sec, Digital Twin $0.0667/sec, and translation/lipsync operations offer Speed ($0.0333/sec) and Precision ($0.0667/sec) variants. Starfish TTS is the cheapest at $0.000667/sec. Minimum entry point is $5, but free tier limits and volume discounts are undocumented. Billing is per-second of output, not per-request, enabling transparent cost prediction for high-volume workflows.
Uses per-second output billing with configurable quality tiers (Speed vs Precision) for some operations, enabling cost/quality tradeoffs, rather than fixed per-request pricing or subscription-only models
More transparent and scalable than per-request pricing for high-volume use cases, and more flexible than subscription-only models for variable workloads
175-plus-language-support-with-automatic-localization
Medium confidenceSupports video generation, translation, and voice synthesis across 175+ languages, enabling global content distribution without manual localization. Language support is built into Photo Avatar, Digital Twin, Video Translation, and Starfish TTS capabilities. Video Translation specifically supports 40+ languages for audio-only dubbing and 175+ languages with lip-sync, suggesting different language coverage for different features. Automatic language selection and detection mechanisms are unknown; users must explicitly specify target language.
Provides 175+ language support across all major HeyGen capabilities with automatic lip-sync adjustment, enabling one-click localization without manual dubbing or re-recording, rather than requiring separate localization workflows
Broader language coverage than many competitors, and integrated lip-sync adjustment makes localized videos more professional than subtitle-only approaches
digital-twin-video-synthesis-from-footage
Medium confidenceCreates a hyper-realistic digital twin avatar trained from video footage of a real person, enabling that person's likeness to deliver scripts in any language with natural gestures and expressions. The Digital Twin model uses the provided video footage to learn facial characteristics, movement patterns, and micro-expressions, then synthesizes new videos where the trained avatar delivers arbitrary scripts. Processing is asynchronous at $0.0667/second, supporting 175+ languages for voice output via Starfish TTS with automatic lip-sync to the synthesized video.
Trains a personalized avatar model from source video footage that learns individual facial characteristics and movement patterns, enabling more realistic synthesis than Photo Avatar, rather than using generic pre-built avatars
More realistic than Photo Avatar for capturing individual mannerisms and expressions, and supports arbitrary script delivery unlike traditional video reenactment which requires frame-by-frame matching
video-translation-with-lip-sync
Medium confidenceTranslates existing videos into 175+ languages with automatic lip-sync adjustment, supporting two processing variants: Speed ($0.0333/second) for faster turnaround with acceptable quality, and Precision ($0.0667/second) for higher-quality lip-sync and natural-sounding dubbing. The translation pipeline uses Starfish TTS to generate dubbed audio in the target language, then applies the Lipsync capability to re-synchronize mouth movements to the new audio. This enables global video distribution without re-recording talent or managing multiple video versions.
Combines automatic speech translation with real-time lip-sync adjustment in a single pipeline, supporting 175+ target languages with configurable quality/latency tradeoff (Speed vs Precision variants), rather than requiring separate translation and lip-sync steps
Faster and cheaper than manual dubbing or re-recording talent, and more scalable than subtitle-only localization for reaching audiences in non-English markets
video-lipsync-resynchronization
Medium confidenceRe-synchronizes lip movements in an existing video to match replacement audio, enabling use cases like audio replacement, voice actor changes, or accent correction without re-recording video. The Lipsync capability analyzes the original video's mouth movements and facial structure, then applies generative animation to adjust lip-sync to the new audio track. Two variants are available: Speed ($0.0333/second) for acceptable quality with faster processing, and Precision ($0.0667/second) for higher-quality mouth movement synthesis. This is a core component of the Video Translation pipeline but can also be used independently.
Provides independent lip-sync adjustment as a standalone capability with configurable quality/latency tradeoff, rather than bundling it only with translation, enabling flexible post-production workflows for audio replacement without full video re-recording
Faster and cheaper than re-recording video for audio changes, and more flexible than fixed lip-sync algorithms that don't adapt to individual facial characteristics
text-to-speech-voice-synthesis-starfish
Medium confidenceGenerates natural-sounding audio voiceovers from text using the Starfish TTS engine, supporting 175+ languages with configurable voice characteristics. The Starfish model is integrated throughout HeyGen's pipeline (Photo Avatar, Digital Twin, Video Translation) but can also be called independently via the `/v3/voices` endpoint to generate standalone audio files. Processing is asynchronous and billed at $0.000667/second of generated audio, making it the lowest-cost component of the HeyGen API. Output audio can be used for video dubbing, voiceover replacement, or standalone audio content.
Provides a unified TTS engine (Starfish) integrated across all HeyGen video generation capabilities with 175+ language support and per-second billing ($0.000667/sec), enabling cost-effective audio generation as a standalone service or integrated component
Cheaper than Google Cloud TTS or Azure Speech Services for high-volume audio generation, and more tightly integrated with video synthesis than standalone TTS APIs
asynchronous-job-polling-and-status-tracking
Medium confidenceManages asynchronous video and audio generation jobs through a polling-based status tracking model where API calls return a job ID immediately, and clients poll the API to check job status and retrieve completed outputs. All HeyGen capabilities (Video Agent, Photo Avatar, Digital Twin, Translation, Lipsync, Voices) operate asynchronously; there is no streaming or real-time output. The polling mechanism enables long-running video synthesis operations without blocking client connections, but requires clients to implement retry logic and handle job timeouts. Job status and completion time are unknown; documentation does not specify SLAs or maximum processing duration.
Implements a pure polling-based asynchronous job model without webhooks or callbacks, requiring clients to implement their own polling loops and retry logic, rather than providing event-driven notifications
Simpler to implement than webhook-based systems for simple use cases, but requires more client-side complexity for large-scale job management compared to event-driven APIs
api-key-authentication-with-header-injection
Medium confidenceAuthenticates all API requests using an API key passed in the `x-api-key` HTTP header, with keys issued through the HeyGen developer portal. This is a stateless, header-based authentication scheme that requires no session management or token refresh logic. API keys are tied to a developer account and control access to all HeyGen capabilities; there is no per-endpoint or per-capability permission granularity documented. Key rotation, expiration, and revocation mechanisms are unknown.
Uses simple header-based API key authentication without OAuth2, JWT, or other token-based schemes, making it easy to implement but offering less granular permission control than modern authentication frameworks
Simpler to implement than OAuth2 for server-to-server integrations, but less flexible for multi-tenant or user-delegated access patterns
javascript-sdk-with-json-response-abstraction
Medium confidenceProvides a JavaScript/Node.js SDK that wraps the REST API and abstracts HTTP details, returning structured JSON responses for all operations. The SDK handles request serialization, response parsing, and error handling, reducing boilerplate code compared to raw HTTP calls. Code examples show SDK usage for creating videos with minimal configuration (passing prompt, avatar_id, voice_id), but full SDK documentation and method signatures are not provided. SDK maturity, version stability, and feature parity with REST API are unknown.
Provides a lightweight JavaScript SDK that abstracts HTTP details and returns structured JSON, rather than requiring raw HTTP client usage, but with limited documentation of SDK methods and no multi-language SDK ecosystem
Easier to use than raw HTTP for JavaScript developers, but less mature and documented than SDKs from competitors like Synthesia or D-ID
cli-agent-first-interface-with-json-output
Medium confidenceProvides a command-line interface (HeyGen CLI) designed for agent-first workflows and automation, with all commands returning structured JSON output suitable for parsing by scripts, CI/CD pipelines, and autonomous agents. The CLI wraps the full v3 API and is designed to be composable with other tools via shell pipes and JSON parsing. Documentation mentions 'Agentic CLI' design but specific commands, usage examples, and output schemas are not provided. CLI is positioned as the primary interface for programmatic workflows alongside the REST API.
Provides an agent-first CLI interface with structured JSON output designed for automation and chaining with other tools, rather than human-readable text output, enabling seamless integration into autonomous workflows
Better suited for automation and agent integration than human-focused CLIs, and enables shell-based composition with other tools via JSON pipes
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
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MiniMax-MCP
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Create videos from plain text in minutes.
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Best For
- ✓developers building autonomous video generation pipelines
- ✓non-technical founders prototyping video content at scale
- ✓teams automating marketing or educational video production
- ✓marketing teams creating consistent brand spokesperson videos
- ✓HR departments producing training or onboarding content
- ✓enterprises needing multilingual video content with consistent talent
- ✓developers building AI agent systems with tool-use capabilities
- ✓teams using Claude, GPT, or other LLMs with tool-calling support
Known Limitations
- ⚠No control over avatar appearance, voice characteristics, or gesture selection — all decisions are automated
- ⚠Maximum prompt/script length unknown; may truncate very long inputs
- ⚠Asynchronous processing only; no streaming or real-time video generation
- ⚠No multi-scene or template support in v3 (available in legacy v2)
- ⚠Requires high-quality, well-lit frontal face photo; unclear minimum resolution or acceptable angles
- ⚠Single image input limits animation realism compared to Digital Twin (which uses video footage)
Requirements
Input / Output
UnfragileRank
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About
AI avatar video generation API that creates professional talking-head videos from text scripts using customizable digital avatars, supporting 175+ languages with lip sync, gestures, and brand-consistent presentations.
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