Best extracted text: from OCR, handwriting or layout, or from the cloud
tier, which gives a description of the image with its text, or with
cloudTask: 'transcribe' the text alone.
Overall confidence score 0–1, taken from the winning tier.
What kind of content was detected.
Which tier(s) contributed to the final result.
Detailed results from each tier that ran, ordered by execution.
Optional embeddingCLIP image embedding vector, when embedding tier is enabled.
Optional layoutStructured document layout, when Florence-2 ran.
Optional regionsBounding boxes for detected text regions from the winning tier.
Optional failedThe tiers that were due to run and failed, each with its error; absent when none failed. A tier listed here is not in tiers.
Total wall-clock processing time in milliseconds.
Aggregated result from the vision pipeline after all configured tiers have run. Contains the best extracted text, content classification, optional embeddings, and detailed per-tier breakdowns.
Example