BerriAI/litellm - GitHub vs NaturalReader

Side-by-side comparison · Updated October 2026

 BerriAI/litellm - GitHubBerriAI/litellm - GitHubNaturalReaderNaturalReader
DescriptionLiteLLM 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.NaturalReader turns written material into spoken audio in a web reader, mobile apps and a Chrome extension. Use the Personal product to listen to documents, webpages, PDFs and ebooks or to hear a draft read back. NaturalReader Commercial is a separate AI Voice Generator for producing narration that can be shared or redistributed. Choosing between those products is the first step: the EULA excludes commercial use, public use and redistribution from the Personal products, even on paid plans. The Personal Free plan includes unlimited Free Voices, 20,000 Lite characters per day and 4,000 shared Plus and Cloned characters per day. Free Voices depend on the device, operating system and browser. Free users cannot convert text to MP3 or use OCR. These are separate listening allowances, so a daily character count should not be treated as a downloadable audio allowance. Personal Lite costs $13.90 per month or $79 per year, Plus costs $20.90 or $119 per year, and Pro costs $25.90 or $159 per year. Lite adds unlimited Lite listening. Plus allows 500,000 shared Plus and Cloned characters per day; Pro shares that daily allowance across Plus, Cloned and Pro voices. Paid MP3 conversion has separate monthly limits, and Free Voices cannot be converted even on paid plans. Paid features include OCR, pronunciation controls and access across the web reader, mobile apps and Chrome extension. For a school group, Plus EDU starts at five users for $299 per year, while Lite EDU starts at 50 users for $599 per year. EDU remains a personal-use audio license. It does not replace Commercial when you intend to publish generated narration or distribute it to learners. Commercial Starter costs $29 per user per month with 500,000 monthly credits. Creator costs $49 with two million credits. Team costs $33 per user per month, requires at least two users and provides two million shared credits per user. Annual billing has different totals. Credits are consumed according to the selected voice or model, and the free sampler allows up to 10,000 characters per day rather than free production exports. The Commercial app supports MP3 and WAV downloads and does not include Personal app access. Start with a representative paragraph containing your real names, numbers and terminology. Check pronunciation, pauses and pacing before processing a longer document. For distributed work, select Commercial and confirm the voice, credit cost and permissions. Compare Speechify for an alternative document-listening workflow or TTSReader for a browser reader with separate business and publishing terms.
CategoryDeveloper ToolsText-To-Speech
RatingNo reviewsNo reviews
PricingOpen SourceFreemium
Starting PriceN/AFree
Plans—
  • Free personal reader — Free
  • Personal Lite — $13.9/mo
  • Personal Plus — $20.9/mo
  • Personal Pro — $25.9/mo
  • Plus EDU (5 users) — $299/yr
  • Commercial Starter — $29/mo
  • Commercial Creator — $49/mo
  • Commercial Team — $33/mo
Use Cases
  • Developers
  • Enterprises
  • Startups
  • Educational Institutions
  • Marketing Teams
  • Content Creators
  • Corporate Trainers
  • Presentation Designers
Tags
AI gatewayPython SDKLLM routingMCP gatewayvirtual keys
text to speechdocument readerwebpage readerpersonal listeningvoiceover
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, mobile, and Chrome extension reading workflows
Listen to supported documents, webpages, PDFs, and ebooks
Free Voices, Lite Voices, Plus Voices, and Cloned Voices with plan-dependent character meters
Current personal plans named Lite, Plus, and Pro
Separate Commercial AI Voice Generator for commercially licensed audio
Commercial credit usage varies by voice or model
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