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Find minimal variable fixes that make equations valid from noisy OCR data.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ortools-mcp" yet — see the docs or source repo.
I have numbers extracted by OCR from a scanned report, and they should satisfy these equations: A+B=C, C-D=E, A=120, B=35, C=154, D=20, E=134. Find the minimal set of corrections so all equations hold, and explain which values need changing.
Returns the minimal corrections that satisfy all equations, highlighting likely misread fields and corrected values.
In a form, subtotal1=42, subtotal2=58, and total=95, but the rule is subtotal1 + subtotal2 = total. Correct the values using the minimal-change principle and provide the final corrected result.
Provides the minimally adjusted field values and indicates which subtotal or total is most likely incorrect.
The following variables must satisfy these constraints: x+y=50, 2x-y=10, x=21, y=31. Identify the fewest variable changes and their magnitudes needed to restore consistency.
Outputs a consistent variable solution, the size of each adjustment, and why it is the minimal correction.
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