2026-04-21T14-33-18Z__iter_01

4/21/2026, 2:33:18 PM · 1 flow · 11,410ms total

clean All settings match production defaults (app_defaults.yaml asOf 2026-04-19).

Build provenance

App

1.4·3

com.flashcopy.app.dev

Git

9000297eac

feature/ocr-v2-structured-lambdas

Sim

AAC26DF1…

com.flashcopy.app.dev

Built at

4/21/2026, 1:54:04 PM

single-photo

v1 ok pipeline →

Input media

No media file found for this input.

word_doc_screenshot.JPG1.51 MBsha256 50a1e20e6b…

Input id

AAAA0012

Total

11.41s

Output

257 words

2006 chars

Cost est

$0.00018

gemini-2.5-flash · basis: chars

in 433 · out 502 tok

Stage timings

local-vision

1.53s

moderation

306ms

s3-upload

2.09s

gemini-ocr

7.49s

Stage details

local-vision	regions 25 conf 1.000
moderation	lambda extended_lambda_ocr approved true
s3-upload	bucket qr-uploads-sup key incoming/555f662c-7b18-4a5b-b498-7cdfb8f70363.jpg
gemini-ocr	lambda extended_lambda_ocr model gemini-2.5-flash

Extracted text

257 words · 2,006 chars

The relentless pursuit of innovation often drives progress across various sectors of
modern industry. From the intricate algorithms powering smart devices to the
fundamental shifts in renewable energy resources, the landscape of technological
advancement is constantly in flux. The core challenge lies in synthesizing these
disparate elements into a coherent strategy that balances commercial viability with
long-term sustainability. The discourse surrounding artificial intelligence, for example,
highlights profound ethical considerations that must be navigated with caution as
machine learning mod…

Prompts used

all prompts →

photo_ocr gemini-2.5-flash 48496a3017… · 699 chars

Can you please OCR this image? Please OCR and do not modify the content and try and generate the OCR result with the same exact formatting as the input image. Please focus in ensuring the OCR process flawlessly retains the source's formatting. I aim to go line-by-line, capturing every detail, including special characters, comments, and those crucial line breaks, indentations, and case differences, thus guaranteeing the output mirrors the original. However, please remove any items from an editor or parts of the IDE/word processor that are shown in any potential screenshot to as just show only the content instead. (For instance removing the list of windows open/ line numbers, file name etc.)

qr_reader_v1/EXTENDED_LAMBDA_OCR.py:108

Output diff

no baseline

No prior run for this input (sha256 50a1e20e6b…) and no ground-truth file at data/ground_truth/<sha>.md. After another ingest the diff will render here.

Run settings

Show all 20 values

{
  "videoFramesPerSecond": 1,
  "videoStitchingMethod": "gemini_only",
  "videoPipelineMode": "s3_parallel",
  "useBackgroundVideoProcessing": true,
  "rekognitionThreshold": 80,
  "geminiModel": "gemini-2.5-flash",
  "photoOcrPromptSha": "48496a3017a2708a92d142281c5ab19f64f8132555514a00cbc35ca9d39daeba",
  "frameOcrPromptSha": "66326cc5be6bdd434dbbdd330b519e26bd8bbcab4a6037a64c2148b66cd2aceb",
  "imageRetentionHours": 24,
  "bypassImageSaveConfirmation": true,
  "bypassProcessingResultWindow": true,
  "enableAnalytics": true,
  "confirmCollectionReset": true,
  "enableNotifications": false,
  "autoProcessImages": true,
  "includeBrandingInSharedText": true,
  "autoSavePhotos": true,
  "multiPhotoSeparator": "double_line",
  "showDebugInfo": false,
  "headerFooterStyle": "equals"
}