Strip your text down to its core meaning - fewer tokens, same context.

Control compression ratio
Pick how aggressively SOMA condenses your text - from a light trim to an extreme reduction, depending on how much context you can afford to lose.

Cut token usage
Shorter prompts mean faster inference and lower costs. SOMARIZER removes redundancy while keeping the meaning intact - so your LLM still gets the full picture.
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Compressed output will appear here

Context compression layer built on the SOMA subnet. Cut token costs, preserve meaning. Be among the first to test it.
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