LALAL.AI vs New API
Side-by-side comparison · Updated October 2026
| Description | LALAL.AI processes existing audio and video through separate tools for vocals and instrument stems, speech cleanup, echo/reverb removal and lead/backing-vocal separation. Voice Changer and Voice Cloner are different, generative workflows. Choose the specific job you need, compare previews against the original, and check for missing sounds, leakage and unnatural speech before exporting. Starter is free and lists 10 processing minutes, result previews and a 200MB file limit. It does not include result downloads, so it is a way to assess output quality rather than obtain a finished free stem pack. Lite costs $9.99 billed monthly; Pro costs $19.99 billed monthly. Annual billing is $90 for Lite or $180 for Pro, displayed as $7.50 or $15 monthly equivalents. Paid plans allow 2GB files, downloads and batch processing. Lite includes 90 Fast Queue minutes per month and Pro 250. Both include unlimited Relaxed Queue minutes, processed as capacity allows. The service automatically uses Fast Queue first and switches when those minutes run out; users cannot manually choose the queue. Stem-separation usage is source duration multiplied by selected separation types. Fast minutes reset each billing period without rollover. Pro additionally lists API access, a VST plugin and local processing with Lyra; confirm the selected desktop or plugin workflow if files must remain on your device. OmniSale GmbH operates LALAL.AI. Its privacy policy says it does not claim ownership of uploaded media or use user files for AI training. Its terms leave responsibility for source and output rights with the user; buying a plan does not license a song, performance or person's voice. Keep a permitted original, obtain the necessary voice permissions for cloning or transformation, and agree storage and deletion requirements before uploading sensitive material. | 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 | Audio Editing | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Freemium | Open Source |
| Starting Price | Free | N/A |
| Plans |
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| Use Cases |
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| Tags | stem separationvocal removeraudio cleanupvoice cleaneraudio processing | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| Vocal and instrument stem separation | ||
| Voice Cleaner and echo/reverb removal | ||
| Separate lead and backing vocals | ||
| Free previews with 10 processing minutes | ||
| Paid downloads, batch processing and 2GB files | ||
| Fast and capacity-dependent Relaxed queues | ||
| Pro API, VST and local Lyra processing options | ||
| 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 LALAL.AI | View New API | |
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