BerriAI/litellm - GitHub vs TTSReader
Side-by-side comparison · Updated October 2026
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| Description | 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. | TTSReader is a browser-based text-to-speech reader for pasted text and supported webpages, PDFs, ebooks and documents. Its reading controls include voice and pace selection, highlighting and saved position. It is developed by WellSource Ltd. Use a short passage to check the available voices, punctuation and reading order before starting a long document. Free access is intended for personal listening or testing. TTSReader's homepage says WebSpeech API voices are free without usage limits, while its terms distinguish an unlimited legacy player from a newer player with account quotas. The numeric new-player limits are explicitly dated May 18, 2025: 3,000 non-premium characters per day and 3,000 premium characters per account in total. Because the public pages describe different players and dated allowances, check the selected player's current counter instead of assuming every voice and route is unlimited. Any business or for-profit use requires premium licensing, even when the audio is not published. Publishing or selling generated audio also requires the appropriate license. Each standard premium account is for one person and normal manual use. API calls, bots, automated workflows, abnormal quantities and larger quotas require contacting TTSReader separately; buying an ordinary premium account does not automatically authorize them. The commercial page says all premium voices can be published and identifies eligible non-premium voices with a green check. Some voices supplied by Apple on macOS are excluded from publishing. Check the selected voice, license period and current purchase terms before producing a deliverable. The vendor says audio generated during an active license period can continue to be used after the license expires. A current numeric premium price is not established by the public legal pages, so confirm it in the product. MP3 export is a separate step from live listening. The privacy policy says exported text and audio are stored on TTSReader's servers and can be accessed by anyone with the unique link. It also describes browser local storage for text and reading position and processing by speech providers. The vendor says it does not use customer text or generated speech to train models. Review these policies before using sensitive material, and treat an export link as a sharing link. TTSReader fits personal read-aloud tasks and properly licensed manual narration. Compare NaturalReader for detailed character allowances and separate Personal and Commercial apps, or Speechify for a reader with scanning and document-service integrations. Decide first whether you need private listening, a downloadable file, business use or automated generation; each has different access and licensing requirements. |
| Category | Developer Tools | Text-To-Speech |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Freemium |
| Starting Price | N/A | Free |
| Plans | — |
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| Use Cases |
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| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | text to speechbrowser readerdocument readerMP3 exportcommercial licensing |
| Features | ||
| 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 | ||
| Browser reader for text, webpages and supported documents | ||
| Voice and pace controls with highlighting and saved position | ||
| Free personal listening or testing | ||
| Premium licensing for business use and publishing | ||
| MP3 export with a shareable link | ||
| Contact the vendor for API, bots or larger quotas | ||
| View BerriAI/litellm - GitHub | View TTSReader | |
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