Eden AI vs Halo by Scam AI: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Eden AI and Halo by Scam AI — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Eden AI
Eden AI
Unified API that connects multiple leading AI providers for text, vision, speech, embeddings, and custom AI APIs.
Key features
- Unified Multi-Provider API: Single REST/API interface that proxies and normalizes requests to many underlying AI providers so developers can switch or combine providers without changing their application code.
- Multi-Modal Support: Exposes capabilities across text generation, chat, embeddings, OCR, image processing, video recognition, speech-to-text and text-to-speech via consistent endpoints and parameter models.
- Open-Source SDKs and Plugins: Official client libraries and example projects (Python, Unity, TypeScript, etc.) available on GitHub under permissive licensing to speed integration and development.
- Provider Orchestration and Fallbacks: Ability to route requests to the best available engine, apply fallbacks, and compare results across providers to improve reliability and performance.
- Custom API Development: Professional services to design and deliver bespoke AI APIs tailored to a product’s specific needs and scale requirements.
- Asynchronous Workflows and Job Support: Built-in async features and workflow capabilities for long-running tasks like batch OCR, video analysis, and multi-step pipelines.
- Result Normalization and Aggregation: Standardizes diverse provider outputs into consistent formats, simplifying downstream processing and reducing integration complexity.
- Unified REST API aggregating multiple AI providers
- Multi-provider routing and engine selection to use the best available model
- Text generation and chat endpoints
- Embeddings and semantic search support
- Speech-to-text and text-to-speech capabilities
- OCR and document parsing
- Image and video recognition / image processing
- Machine translation
- Asynchronous features and workflow support
- Official SDKs and plugins (Python SDK, Unity plugin, TypeScript examples)
- Open-source client libraries (Apache-2.0 for edenai-apis)
- Option for custom API development and hosted SaaS
Best for
- Multi-vendor text generation and chat: Integrate a single chat/text endpoint that can use different underlying LLMs or fallback engines without rewriting application logic.
- Speech and voice features for apps and games: Add speech-to-text and text-to-speech capabilities (including Unity integration) using the same Eden AI API and SDKs.
- Document ingestion and OCR pipelines: Extract text from documents, normalize outputs from different OCR providers, and feed results to search or classification workflows.
- Unified embeddings and semantic search: Generate embeddings from selected providers through one API, enabling consistent vector search and retrieval across datasets.
- Image and video analysis: Run image classification, object detection, and video recognition using multiple providers and aggregate normalized results for decision-making.
- Rapid prototyping and productionizing AI features: Use open-source SDKs and Eden AI’s custom API service to quickly test multiple provider engines and deploy a stable production endpoint.
- Build cross-provider chatbots and conversational agents
- Add TTS and STT features to games and apps (Unity integration)
- Automate document ingestion and OCR for data extraction
- Generate embeddings for semantic search and recommendation systems
- Perform image/video analysis and document understanding pipelines
- Quickly compare multiple provider outputs or failover between engines
- Create custom, hosted AI APIs tailored to product needs
Halo by Scam AI
Reality Inc
AI trust platform that detects deepfakes, voice clones, and GenAI content across images, video, audio, IDs, and live video calls.
Key features
- Deepfake Detection: Catches face swaps, lip-sync, reenactment, and cloned voices that impersonate real people in image, video, and audio.
- GenAI Content Detection: Identifies fully synthetic images, video, and audio from Stable Diffusion, DALL·E, Midjourney, Sora, and ElevenLabs.
- Halo On-Device Call Protection: Runs 100% on-device to flag synthetic faces and face swaps live on Zoom, Teams, and Meet without recording or uploading anything.
- Eva-v1 Model Family: Eva-v1-Fast returns verdicts on images in under 2 seconds; Eva-v1-Pro delivers forensic-grade accuracy in under 4 seconds.
- Unified REST API: One integration handles both deepfake and GenAI detection across image, video, and audio via a single authenticated endpoint.
- Identity & Document Verification: Detects forged IDs, manipulated selfies, and AI-generated documents before onboarding completes.
- Add-on Defenses: Adaptive Defense, Active Liveness, and Express Lane low-latency mode extend detection with injection-attack protection and 3s response SLAs.
- Enterprise Compliance: GDPR compliant, SOC 2 Type II attested, and no media retention by default, with configurable retention for audit needs.
Best for
- KYC & Onboarding: Financial services and marketplaces block AI-generated selfies and forged IDs before an account is opened.
- Contact Center Fraud Prevention: Detect voice clones in real time to stop synthetic-caller attacks against call-center authentication.
- Executive Call Protection: Halo alerts staff to face-swap impersonations on video calls before authorizing wire transfers.
- Hiring & Remote Interviews: Recruiters catch deepfake candidates impersonating real engineers during video interviews.
- Content Moderation: Media platforms scan uploads at scale to flag GenAI images, video, and audio before they reach users.
- Insurance Claim Review: Detect manipulated photos and forged supporting documents submitted with claims.