# deAPI vs Inworld AI

deAPI records 27,511 monthly visits with -42.4% month-over-month growth and Pay-per-use (free $5 credits, Enterprise plan available) pricing. Inworld AI records 323,330 monthly visits with -29.7% growth and Usage-based (per characters, per audio hour, per tokens) + Enterprise pricing.

| Metric | [deAPI](https://openaitools.app/tool/deapi) | [Inworld AI](https://openaitools.app/tool/inworld) |
| :--- | :--- | :--- |
| Website URL | https://deapi.ai | https://www.inworld.ai |
| Categories | AI API, AI Voice Enhancer, AI Video Upscaler, AI Video Generator | AI Developer Tools, AI Agent, AI Character, AI Games |
| Pricing Model | Pay-per-use (free $5 credits, Enterprise plan available) | Usage-based (per characters, per audio hour, per tokens) + Enterprise |
| Monthly Visits | 27,511 | 323,330 |
| MoM Growth Rate | -42.4% | -29.7% |
| Primary Market | United States | United States |
| Direct Visits | 11,303 | 136,407 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 3 | 7 |
| Supported Platforms | Website | Website |

## deAPI

deAPI positions itself as the single API key you need for generative AI. The model catalogue spans text-to-image (FLUX, GPT Image, Nano Banana, Z-Anime), image-to-image editing, text-to-video and image-to-video (Veo, Kling, Seedance, LTX, MiniMax), text-to-speech and voice cloning (Qwen3 TTS, Chatterbox, Kokoro), audio-to-text with Whisper Large V3, OCR, retrieval-style text embeddings (BGE M3), background removal, image and video upscaling and text-to-music.

Integration is intentionally boring: the endpoint is OpenAI-compatible, so existing SDKs and code that already speak the OpenAI format work with minimal changes, and official snippets are provided for Python, TypeScript, Next.js, React, Node and more. There is a Playground for prompt testing, a docs site, a changelog, a hosted MCP-style context feed that lets you ask Claude, ChatGPT or Gemini about supported models and pricing, and community channels on GitHub, Discord and X.

Pricing is pure pay-as-you-go with no subscription. New accounts receive $5 in free credits, no credit card required, and each generation is billed per call — for example a 512×512 FLUX render is listed at roughly $0.0019 and a 1024×1024 four-step render around $0.0037, while transcription starts near $0.015 per hour of audio. An enterprise tier is available for higher volume.

**Pricing & Plans:** Pay-per-use with no subscription and no credit card required. New users get $5 in free credits. Example rates: FLUX 512×512 ≈ $0.0019 and 1024×1024 at 4 steps ≈ $0.0037 per image; audio transcription from around $0.015 per hour. An Enterprise plan is available for high-volume workloads.

- **100+ models, one API key:** Access image, video, voice, music, OCR and embedding models from a single OpenAI-compatible endpoint instead of juggling multiple vendors.
- **OpenAI-compatible interface:** Reuse existing OpenAI SDKs and client code, with ready-made snippets for Python, TypeScript, Next.js, React, Node, Vue and Angular.
- **Full generative stack:** Covers text-to-image, image editing, text-to-video, image-to-video, TTS, voice cloning, transcription, OCR, embeddings, upscaling and music generation.
- **Transparent pay-per-call pricing:** No subscriptions or hidden fees; an in-page price calculator shows the exact cost before you run a generation.
- **Playground and LLM context feed:** Test prompts in a hosted Playground and pull up-to-date model and pricing context directly into Claude, ChatGPT or Gemini.

**Strengths:** Genuinely broad multimodal coverage behind one consistent API surface; OpenAI-compatible design means very low switching and integration cost; Granular pay-as-you-go pricing with a live calculator, so costs are predictable; $5 free credit and no credit card required lowers the trial barrier

**Limitations:** Latency and throughput depend on shared inference capacity rather than dedicated GPU instances; Per-call billing requires careful monitoring at scale, since costs scale linearly with usage; Advanced enterprise needs such as private deployment or SLA guarantees require contacting sales

[Profile (Markdown)](https://openaitools.app/tool/deapi.md)

## Inworld AI

Inworld AI has evolved from its origins as a character engine for games into a realtime voice and inference platform aimed at consumer applications. The core pitch is latency: the company advertises time-to-first-audio in the tens of milliseconds for its Flash voice model and sub-second time-to-first-token for hosted LLMs, which matters for companions, tutors, coaches and any product where a pause breaks the illusion of conversation.

On the voice side, Inworld ships Realtime TTS-2 for expressive, steerable speech across a very large number of languages and dialects, Realtime STT-1 for streaming transcription that also returns traits such as emotion, style, age and accent, and a speech-to-speech endpoint that handles listening, reasoning and speaking over a single WebSocket or WebRTC connection. Expressive controls let developers direct delivery rather than only choosing a preset voice.

On the model side, Inworld Inference hosts a catalogue of open text, image, video and decision models that the company tunes from weights down to kernels, competing on price, throughput and reliability. Developers typically mix one hosted LLM with a voice model, paying per million characters for speech and per million tokens for inference, with volume and enterprise tiers available.

**Pricing & Plans:** Usage-based. Speech is billed per million characters (published enterprise rates sit far below legacy voice vendors) and STT per hour of audio; hosted LLMs are billed per million input, output and cached tokens. Enterprise and volume commitments are quoted on request, and a free playground plus trial credits let you test models before buying.

- **Realtime text to speech:** Streaming TTS with latency as low as tens of milliseconds to first audio, expressive style control and support for several hundred languages and dialects.
- **Streaming speech to text:** Realtime transcription that returns voice traits such as emotion, style, age and accent alongside the transcript.
- **Speech to speech endpoint:** One WebSocket or WebRTC connection that listens, reasons with any LLM and talks back, for natural turn-taking agents.
- **Inworld Inference:** Managed hosting for open text, image, video and decision models, optimised for time to first token, cost per request and reliability.
- **Developer tooling:** Documentation, API reference, model playground, community support and a copyable 'skill' that plugs the platform into coding assistants.

**Strengths:** Strong latency numbers for both voice and LLM serving, which is the hard part of conversational products; Voice and inference available from a single vendor, reducing integration work; Very broad language coverage and multiple hosting regions; Publicly documented per-unit pricing and a playground for evaluating models

**Limitations:** Pricing is consumption based, so costs scale with engagement and need monitoring; You bring your own orchestration, guardrails and application logic; Enterprise discounts and some features require a sales conversation

[Profile (Markdown)](https://openaitools.app/tool/inworld.md)

## Frequently Asked Questions

### How do deAPI and Inworld AI compare in monthly traffic?

deAPI has 27,511 monthly visits, while Inworld AI has 323,330. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

deAPI has a month-over-month growth rate of -42.4%; Inworld AI has -29.7%.

### How does pricing compare?

deAPI: Pay-per-use (free $5 credits, Enterprise plan available). Pay-per-use with no subscription and no credit card required. New users get $5 in free credits. Example rates: FLUX 512×512 ≈ $0.0019 and 1024×1024 at 4 steps ≈ $0.0037 per image; audio transcription from around $0.015 per hour. An Enterprise plan is available for high-volume workloads. Inworld AI: Usage-based (per characters, per audio hour, per tokens) + Enterprise. Usage-based. Speech is billed per million characters (published enterprise rates sit far below legacy voice vendors) and STT per hour of audio; hosted LLMs are billed per million input, output and cached tokens. Enterprise and volume commitments are quoted on request, and a free playground plus trial credits let you test models before buying.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Venice AI](https://openaitools.app/tool/venice-ai) | 25,088,401 | +23.8% | Freemium | Private AI for unrestricted creative work | [.md](https://openaitools.app/tool/venice-ai.md) |
| 2 | [A2E Free and Uncensored AI Videos](https://openaitools.app/tool/a2e-free-and-uncensored-ai-videos) | 9,367,195 | +9.4% | Freemium | An all-in-one AI video and avatar studio with face swap, lip sync and voice cloning | [.md](https://openaitools.app/tool/a2e-free-and-uncensored-ai-videos.md) |
| 3 | [DeepAI](https://openaitools.app/tool/deepai-org) | 8,407,615 | +0.9% | Freemium | All-in-one creative AI toolkit for images, video, music and voice | [.md](https://openaitools.app/tool/deepai-org.md) |
| 4 | [Magic Hour](https://openaitools.app/tool/magic-hour) | 3,383,328 | +26.8% | Freemium | One AI studio for video, image, and audio creation | [.md](https://openaitools.app/tool/magic-hour.md) |
| 5 | [Makefun AI](https://openaitools.app/tool/makefun-ai) | 2,529,417 | +2.4% | Freemium, Contact for Pricing, Free | Free AI video and image generator with avatar, face swap and voice cloning | [.md](https://openaitools.app/tool/makefun-ai.md) |
| 6 | [WaveSpeedAI](https://openaitools.app/tool/wavespeedai) | 2,164,832 | +22.9% | Paid | One API for 1,000+ AI image, video, audio and 3D models | [.md](https://openaitools.app/tool/wavespeedai.md) |
| 7 | [Agnaistic (Agnai)](https://openaitools.app/tool/agnaistic-agnai-chat) | 343,625 | +4.4% | Free | Bring-your-own-key AI chat studio for personas, characters and swappable model backends | [.md](https://openaitools.app/tool/agnaistic-agnai-chat.md) |
| 8 | [Featherless AI](https://openaitools.app/tool/featherless-llm) | 181,781 | -27.5% | Paid | Provides serverless API hosting for open-source models, offering lower-level LLM access without Inworld's specialized character and voice stack. | [.md](https://openaitools.app/tool/featherless-llm.md) |
| 9 | [Modelflare](https://openaitools.app/tool/modelflare) | 121,024 | +37.5% | Paid | One OpenAI-compatible API gateway for text, image, and video models | [.md](https://openaitools.app/tool/modelflare.md) |
| 10 | [Convai](https://openaitools.app/tool/convai) | 78,678 | -26% | Freemium | Focuses on developer tools for embodied 3D AI characters with spatial awareness, but requires distinct integration SDKs. | [.md](https://openaitools.app/tool/convai.md) |

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Source: https://openaitools.app/compare/deapi-vs-inworld

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)