Loom AI vs New API
Side-by-side comparison · Updated October 2026
| Description | Loom AI is a versatile tool designed to enhance video creation and sharing. It significantly speeds up video production by automating tasks such as editing, summarizing, and generating titles and chapters. With features like auto-refinement of videos, removal of filler words, and conversion of videos into text documents, Loom AI streamlines workflows and enhances productivity. Its AI capabilities extend to creating issues and messages from videos and providing ready-to-share documents in a single click. Available in over 50 languages, Loom AI offers AI voices and avatars, and integration with tools like Jira, Linear, and Confluence. | New API is a self-hosted AI gateway and model-management project maintained in the QuantumNous repository. It brings provider channels, access tokens, model restrictions, usage statistics and cost accounting into one interface. Teams supply their own authorized model-provider access and operate the gateway in their chosen environment. The gateway supports several API formats, including OpenAI-compatible requests, Claude Messages and Google Gemini. Compatibility has boundaries: the README marks Gemini-to-OpenAI conversion as text-only without function calling, and OpenAI-compatible to Responses conversion as in development. Test the exact endpoints, streaming behavior and tool calls your application uses before switching traffic. Routing features include weighted channel selection, automatic retry after failures and user-level model rate limits. The dashboard supports request-based, usage-based and cache-hit cost accounting, with token grouping and model-access controls. These controls can help organize usage, but retries and a common API format do not guarantee uninterrupted service or identical behavior across providers. The current repository license is AGPLv3. Docker Compose is the recommended quick-start path in the README, which also documents Docker commands with SQLite or MySQL. Running the software still involves infrastructure, operations and upstream model charges. Review the current license, secure your deployment and validate accounting against provider bills. Compare LiteLLM if you also want a Python SDK or a documented gateway for MCP servers and agents. |
| Category | Video Editing | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Freemium | Open Source |
| Starting Price | Free | N/A |
| Plans |
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| Use Cases |
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| Tags | video creationvideo sharingediting automationsummarizinggenerating titles | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| Automated video editing | ||
| Auto-generated titles and summaries | ||
| Filler word removal | ||
| Conversion to text documents | ||
| Issue and message creation | ||
| Support for 50+ languages | ||
| AI voices and avatars | ||
| Integration with Jira, Linear, and Confluence | ||
| Ready-to-share documents | ||
| Future updates like auto-capture dev tools and visual additions | ||
| Self-hosted AI gateway and model management | ||
| Provider channels, token groups and model restrictions | ||
| OpenAI-compatible, Claude Messages and Gemini format support | ||
| Documented limits on protocol conversion | ||
| Weighted channel selection and failure retries | ||
| User-level model rate limiting | ||
| Request, usage and cache-hit cost accounting | ||
| Docker Compose deployment documentation | ||
| View Loom AI | View New API | |
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