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JSON success can coexist with missing or incorrect OCR values. It does not show that the rotated content was read correctly.

A stricter threshold may suppress results but cannot restore strokes missed because the document is rotated or blurred. Correct capture orientation and legibility first.

More text context cannot reconstruct visual characters that OCR could not reliably observe. The first troubleshooting step is source orientation and supported image preprocessing.

Absolute-value equality loses whether the original document represented a credit or charge. Sign is financially material.

Turning negative values positive is not a normalization rule; it changes credits into debits and can misstate account balances.

A narrative that says credit cannot override a positive numeric ledger field. Machine-posted values must match source meaning.

Preview demonstrations do not establish GA status across APIs or regions; relying on unsupported behavior can breach production requirements.

Preview functionality may work in a demo while lacking a production SLA or the required regional and compliance support. The release must verify the actual API version and feature GA status for the intended environment.

A preview demonstration cannot prove the deployed production endpoint includes the same signature capability, region availability or reliability terms. Check the exact feature and GA API contract.

Preview behavior may change without standard guarantees and may be unsuitable for binding legal decisions. A production design needs explicit risk acceptance or a supported alternative.

A larger version number does not mean every feature has graduated from preview. Availability is capability-specific.

One successful call cannot prove region-wide availability, contractual SLA or stable response behavior under load.

A correctly extracted contact name does not validate the telephone-number field. The image can have sharp text in one area and blurred characters elsewhere, so each critical field needs its own evidence before CRM insertion.

A typical local number pattern is not evidence of the exact printed number or its international country code. Guessing characters may route calls to an unrelated person even if the generated telephone string passes a length check.

A caption is unstructured descriptive text, not a reliable contact-number field. Summarization can omit a plus sign or leading zero and cannot recover characters the extraction stage failed to read.

An overall storefront caption can identify the scene but cannot establish the literal regulated license number.

Generating plausible digits from a business name creates a false government identifier that may belong to another organization.

The longest text may be advertising or another sign, not the labeled license field. Length cannot identify the required record.

A correct-looking string length does not prove the oil-hidden digits were observed. A false pressure-gauge reading can affect safety.

Cropped-away damage or oil does not restore the missing symbols. A source image that lacks needed strokes cannot justify a full reading.

Common gauge identifiers are not this particular obscured label. Treating guessed digits as verified is fabrication.

Alphabetical serial order is not guaranteed to match spatial order or packing layout, so this can swap asset identities.

Removing coordinates discards the evidence needed to reconcile labels with the three boxes.

OCR output order is not guaranteed to follow the spatial arrangement of physical cartons, especially with angled or overlapping labels. Bounding-region associations are needed to tie each recognized string to the correct object.

High OCR confidence on digits cannot determine whether the currency sign was correctly interpreted. 19.99 euros is not identical to 19.99 US dollars.

Interface language does not define the price currency and cannot replace a rate/locale conversion decision.

A default USD currency can silently alter the financial amount even when the numeric digits are correct. The source currency must be extracted and normalized with evidence.

The invariant ignores the printed adjustment and overstates the payable amount by $10. Arithmetic must include the signed discount source field.

The numerical glyph can be positive while the field is a deduction. The label and signed business semantics determine whether an amount adds to or subtracts from the total.

A tolerance large enough to hide a missing discount can accept materially wrong charges. The validation rule should explicitly represent the adjustment and its evidence.

Upscaling can improve visual readability but does not restore source data absent from the screenshot. Digitized interpolations need uncertainty labels, not assertions of exact original values.

Interpolation can be useful when explicitly marked approximate, but the requested extraction cannot label estimated coordinates as exact observations supported by unreadable pixels.

The apparent peak does not specify its quantity or whether the axis is linear, log or truncated. Visual position alone cannot establish a precise numerical maximum.