60% Fable cost cut by converting code to images and having the model OCR it
A new tool called pxpipe reduces AI token costs by converting text-heavy context into compact images that the model then reads via OCR. This method can cut input token usage by up to 70% for dense documents like system prompts and tool documentation.
Why it matters
This represents a clever technical workaround to the high costs of LLM API usage, demonstrating how developers are optimizing for token efficiency.
Cut Claude Code's input tokens by rendering bulky context as images — the same system prompt, tool docs, and history, in a fraction of the tokens.
The content is a technical explanation of a software tool and its performance benefits.
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