Audioshake vs Llama2 by Meta
Side-by-side comparison · Updated September 2026
| Description | AudioShake separates an existing recording into sources such as vocals, instruments, dialogue, music and effects. It also offers speech cleanup, speaker separation, lyric transcription and word-level lyric alignment. Use those outputs in editing, dubbing, remixing or audio analysis, and listen for leakage and changed sounds before delivery. Its lyric transcription is not a general-purpose speech-to-text service; separated speech can instead feed a dedicated transcription workflow. The developer API includes 10 credits on signup. Usage is billed per source-audio minute for each target model, rounding the duration up to the next minute. A 2 minute 10 second recording processed by vocals and instrumental models at one credit per minute each costs six credits. Instrument stems and lyric transcription/alignment cost one credit per minute; dialogue, effects and speech denoise cost 1.5, dereverb two, multi-voice and music removal ten, and music detection 0.5. Credit rates are not dollar prices. Dereverb also reduces noise, so avoid automatically paying for both cleanup models when one meets the task. Choose AudioShake Live for its professional web workflow, Indie for its artist-oriented route, the API for asynchronous jobs and batches, or a separately licensed Local Inference SDK for on-device or self-hosted integration. Check the target model's input limits: multi-voice accepts at most 1.5 hours, while lyric transcription and alignment accept at most 45 minutes. Pilot the required source material and integration before committing to a production pipeline. AudioShake's August 2026 terms identify Audioshake, Inc. Customers retain content ownership and must have the rights to upload and process it. The agreement permits service improvement and development uses of content, while promising not to sell it or use it to train models designed to generate new original musical compositions or sound recordings. That is a narrower promise than a ban on all model training. Confirm the applicable Order Form for third-party or service-bureau integrations and agree retention requirements for confidential audio. | Meta's Llama 3, Llama 2, and Code Llama embody cutting-edge AI advancements, featuring robust NLP capabilities, unwavering trust and safety through the Meta Llama Guard, and a strong emphasis on community and resources. These technologies fuel innovation, foster a responsible AI use framework, and support an engaging research community, offering essential tools and guidelines for developers and users alike. With comprehensive resources like blogs, newsroom updates, and policy documents, users can seamlessly integrate and leverage these AI solutions while remaining informed and compliant. |
| Category | Audio Editing | Natural Language Processing |
| Rating | No reviews | No reviews |
| Pricing | Usage-Based | Free |
| Starting Price | N/A | N/A |
| Plans | — |
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| Tags | audio source separationmusic stem separationdialogue separationlyric alignmentaudio API | NLPMeta Llama GuardAIresearchcommunity |
| Features | ||
| Music and instrument stem separation | ||
| Dialogue, music and effects separation | ||
| Speech denoise and combined dereverb/denoise | ||
| Multi-speaker separation | ||
| Lyric transcription and word-level alignment | ||
| Asynchronous API jobs, webhooks and batches | ||
| Separate Live, Indie and Local Inference SDK access | ||
| Advanced natural language processing | ||
| Meta Llama Guard for safety | ||
| Community support and impacts | ||
| Responsible Use Guide | ||
| AI research community | ||
| Llama Impact Grants | ||
| Comprehensive resources | ||
| AI-driven code enhancement | ||
| Innovation and collaboration | ||
| Regular updates and news | ||
| View Audioshake | View Llama2 by Meta | |
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