Aiko vs New API
Side-by-side comparison · Updated October 2026
| Description | Aiko is a high-quality, AI-powered audio transcription app that offers users the ability to convert speech to text directly on their devices, ensuring complete privacy. It leverages OpenAI's Whisper model to provide support for transcribing audio in over 100 languages. With features tailored for meetings, lectures, and more, Aiko integrates seamlessly into productivity workflows by supporting shortcuts and exporting transcriptions to various formats. The app is designed to run locally on macOS and iOS devices, adapting the model's size to the device's memory for optimal performance. | 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 | Pricing unavailable | Open Source |
| Starting Price | N/A | N/A |
| Use Cases |
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| Tags | AIaudio transcriptionspeech to textprivacyOpenAI Whisper | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| On-device audio transcription ensuring privacy | ||
| Supports transcription in over 100 languages | ||
| Utilizes OpenAI's Whisper model for high-quality transcription | ||
| Seamless integration into productivity workflows with support for shortcuts | ||
| Exports transcriptions to various formats (JSON, CSV, subtitles) | ||
| Adapts the model's size based on device memory for optimal performance | ||
| High privacy with direct device processing | ||
| Supports audio and video file transcription | ||
| Designed for iOS and macOS devices | ||
| Does not support text editing within the app | ||
| 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 Aiko | View New API | |
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