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ChatWebpage
✓ verifiedFreemium
AI chatbot that learns from your website URL to answer customer-service questions 24/7 in multiple languages.
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AI or Not
✓ verifiedFreemium
AI or Not detects AI-generated and deepfake images, video, audio and text via API with a claimed 98.9% accuracy.
240K visits/mo2.9K saves
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Runware
✓ verifiedFreemium
Pay-as-you-go API aggregating thousands of image, video, audio and LLM models with custom inference hardware for lower per-request cost.
249K visits/mo
Pricing
Starter: $49/mo (1 bot, 4,000 messages)
Pro: $99/mo (2 bots, 10,000 messages, API)
Scale: $399/mo (unlimited bots and messages)
Free: $0 ($5 in credits, 1M words + 20 image checks)
Pro: $5/mo ($10 credits/mo)
vCPU compute: $0.016/hr
RTX PRO 6000: $1.99/hr (as low as $0.99)
H100: $2.76/hr
H200: $3.18/hr
B200: $4.99/hr
Free trial available
Core features
- ✦Train a chatbot from a website URL
- ✦File uploads for extra training data
- ✦24/7 multilingual answers
- ✦Website integrations and embed scripts
- ✦API access on higher tiers
- ✦Team members and webhook support
- ✦AI image, video, audio and text detection
- ✦Deepfake detection
- ✦Detection API with key included
- ✦Per-use credits across all modalities
- ✦Model-level breakdown of results
- ✦Enterprise/on-prem and reseller options
- ✦Single API for image, video, audio, 3D and LLM models
- ✦Standardized model addressing across hosted, partner and custom uploads
- ✦Support for LoRAs, ControlNets, VAEs and embeddings on open-source models
- ✦WebSocket and REST access with async webhook delivery
- ✦Pay-per-request billing with no infrastructure to manage
- ✦Raw serverless GPU/CPU compute for custom workloads
Use cases
- →Automate website customer support
- →Answer product and contact questions
- →Deploy a branded support bot
- →Scale support without extra staff
- →Verify whether media is AI-generated
- →Screen content for deepfakes
- →Integrate AI detection into workflows via API
- →Adding AI image or video generation to an app without managing infra
- →Batching multi-modal generation tasks in one API call
- →Running custom fine-tuned models via Model Upload
- →Cutting inference costs at high generation volume
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