Identify eligible context
Separate bulky stable material from recent instructions, secrets, IDs, paths, code, and other exact-recovery content.
Carry more context with less token weight.
Render eligible bulky, stable context as compact images on supported model calls while preserving the text source of truth.
Context Rasterization is one layer of Moxby's Token Condenser. It works with condensed tool outputs and context restoration to reduce repeated token weight and make longer subscription-based workflows more useful.
Token efficiency should be measurable, model-aware, and reversible, not a vague promise that important context disappeared.
Moxby keeps the stored transcript as text. Eligible gist-tolerant context can be rasterized on the wire for models that read it reliably, while recent instructions and exact strings stay textual or are retrieved from the text store.
Preserve the record. Reduce the eligible payload.
Rasterize for supported models
Render only eligible context into compact image blocks when the active model has passed the required reliability checks.
Report the result
Keep measured token and cost effects visible in usage reporting instead of converting an allowance into a guaranteed-savings claim.
Designed around recall, not just compression.
The system treats lower token weight as useful only when the model can still navigate the job and retrieve exact details from text.
Wire-only transformation
The stored conversation and session history remain text; the rasterized representation exists only in the supported outbound request.
Exact strings stay textual
Secrets, identifiers, paths, versions, code, and other exact material are not trusted to image recognition.
Model reliability gates
Rasterization is used only where the active model and content type meet Moxby's recall and legibility requirements.
Context restoration
Relevant browser and workflow state can be restored without replaying every historical tool output at full weight.
Condensed tool outputs
Large tool results can be represented compactly while lossless persisted output remains available for targeted recovery.
Usage reporting
Moxby shows measured usage and savings separately so plan allowances are not presented as guaranteed financial outcomes.
Keep the transcript verbatim.
Rasterization never becomes the only copy of the conversation. The text store remains the recoverable source when an exact identifier or historical detail is needed.
- Text remains the source of truth
- Recent turns stay text
- Exact material is retrieved from text
Spend subscription headroom on the work.
By reducing eligible repeated context and bulky tool outputs, the Token Condenser can help a supported workflow use less of its available token budget.
- Measured per supported call
- No guaranteed-dollar claim
- Model and cache economics remain visible
Measured per supported callNo guaranteed-dollar claimModel and cache economics remain visible
Where context efficiency matters.
Long browser research
Carry the relevant working record forward without repeatedly sending every page extraction at full text weight.
Tool-heavy building
Condense bulky tool outputs while retaining pointers to lossless persisted output for exact recovery.
Restored workflows
Return to the browser task with the relevant state and recent instructions available to the model.
Subscription-aware work
See how eligible savings affect available headroom without claiming an amount that was not measured.
Build it where it will run.
Moxby Chat can create and evolve Mods and Missions inside the browser, with the live page and working context close at hand.
Browser-native by default
The extension is the primary Moxby experience. Features run in or beside the web applications where you already work.
Desktop Bridge when needed
Use the companion Bridge for supported subscription authentication and approved capabilities that cannot live inside the browser sandbox.
Context that restores
Token Condenser and workflow restoration help the model recover relevant state with less repeated token weight.
Questions, answered.
Product details for using Context Rasterization through the Moxby browser extension.
Does Context Rasterization delete context?
No. The stored transcript stays text. Rasterization changes eligible context only in the outbound model request.
Does it work on every model?
No. It is reliability-gated by model and content type. Unsupported or unverified models keep the relevant context as text.
Are token savings guaranteed?
No. Results depend on the model, context, cache state, eligible content, and workflow. Moxby reports measured usage and treats plan token-savings amounts as allowances, not guarantees.
How is this related to Token Condenser?
Context Rasterization is one layer. Token Condenser also includes condensed tool outputs and context restoration designed to reduce repeated token weight.
Make Context Rasterization part of your browser.
Install Moxby once, then build or add the capability you need from the Marketplace.
Four connected ways to work in your browser.
Chat on any page, build Mods, run Missions, and add ready-made products from the Marketplace.