AudioTranscription vs New API
Side-by-side comparison · Updated October 2026
| Description | AudioTranscription.ai is an advanced transcription service providing fast, accurate, and secure AI-powered transcription for audio and video files. Users can easily upload files up to 5GB and select from over 70 languages for transcription. The platform offers features like speaker identification, multi-format file support, and a user-friendly dashboard for managing transcripts. With competitive, pay-as-you-go pricing, and the ability to handle large orders through a REST API, AudioTranscription.ai is designed to simplify the transcription process for individuals and businesses alike. | 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 | Speech-To-Text | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Paid | Open Source |
| Starting Price | €4 | N/A |
| Plans |
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| Tags | audio transcriptionvideo transcriptionAI-poweredfastaccurate | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| Fast transcription speed - 1-hour audio or video file in under 5 minutes | ||
| Supports over 70 languages | ||
| Speaker identification | ||
| User-friendly dashboard | ||
| Multi-format file uploads and downloads | ||
| High accuracy, even with multiple languages | ||
| API access for large orders | ||
| Easy transcription management and accessibility | ||
| Secure and reliable service | ||
| Pay-as-you-go pricing model with discounts for larger bundles | ||
| 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 AudioTranscription | View New API | |
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