Aiko vs BerriAI/litellm - GitHub
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. | LiteLLM is an AI gateway and Python SDK from Berrie AI Incorporated, published in the BerriAI GitHub repository. The SDK provides a common interface for model calls inside Python applications. The proxy gateway centralizes access for a team, with virtual keys, model routing, spend tracking, budgets and an administration interface. The official documentation lists support for more than 100 model providers. Supported endpoints and features vary by integration, so verify your model’s streaming, tool-calling, image, audio or embedding requirements. The router supports retries, fallbacks and load balancing; observability integrations can send request data to tools such as Langfuse, LangSmith and OpenTelemetry. LiteLLM also provides an MCP gateway. It can connect upstream servers using Streamable HTTP, SSE or stdio, expose tools through a fixed gateway endpoint, and scope access by key, team or organization. This requires configuring the upstream servers and authentication; the gateway does not automatically grant access to third-party tools. Agent-to-agent integrations are documented separately. The open-source offering has no software license fee for self-hosting. Code outside the enterprise directory is MIT-licensed, while enterprise code has separate terms. Enterprise pricing is quoted by annual gateway request capacity, deployment architecture and support needs, rather than a per-token license charge. Model-provider charges and infrastructure costs still apply. Enterprise adds controls and support such as SSO, SCIM, audit logs and service-level agreements. Compare New API for another self-hosted gateway with provider-channel management and usage accounting. Evaluate a representative workload, inspect request logging and secret handling, test budget and failure behavior, and decide whether SDK integration or a shared gateway best fits your application. |
| Category | Speech-To-Text | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Pricing unavailable | Open Source |
| Starting Price | N/A | N/A |
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| Tags | AIaudio transcriptionspeech to textprivacyOpenAI Whisper | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys |
| 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 | ||
| Python SDK for direct application integration | ||
| Shared AI proxy gateway and administration UI | ||
| More than 100 documented model-provider integrations | ||
| Virtual keys, users, teams, budgets and rate limits | ||
| Spend tracking and observability integrations | ||
| Router retries, fallbacks and load balancing | ||
| MCP gateway for Streamable HTTP, SSE and stdio upstreams | ||
| Key, team and organization MCP permissions | ||
| Separate enterprise identity, audit and support features | ||
| View Aiko | View BerriAI/litellm - GitHub | |
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