2026-04-20T16-21-32Z__iter_01

4/20/2026, 4:21:32 PM · 1 flow · 9,074ms 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

36652cef76

feature/processing-animation-variants · dirty

Sim

AAC26DF1…

com.flashcopy.app.dev

Built at

4/19/2026, 1:55:28 AM

single-photo

ok pipeline →

Input media

No media file found for this input.

notepad_picture.JPG2.16 MBsha256 e1930563e9…

Input id

AAAA0004

Total

9.07s

Output

79 words

427 chars

Cost est

$0.00006

gemini-2.5-flash · basis: chars

in 433 · out 107 tok

Stage timings

local-vision

1.27s

moderation

444ms

s3-upload

2.08s

gemini-ocr

5.28s

Stage details

local-vision	regions 20 conf 0.975
moderation	lambda extended_lambda_ocr approved true
s3-upload	bucket qr-uploads-sup key incoming/b51d24bf-cdab-409a-8875-88b4ff8632fa.jpg
gemini-ocr	lambda extended_lambda_ocr model gemini-2.5-flash

Extracted text

79 words · 427 chars

These are all the cool things
you can do with Flash Copy!

Flash Copy can:

  Scan & process a page of text in seconds!
  It doesn't even matter if it's cursive!


It can copy a list

1.  Step 1
    a. Step 1-a
    b. Step 2-a
2.  Step 2
    a. Step 2-a
    b. Getting the picture now?

It can copy code as well!

def hello World ():
  print ("Hello World")
  print ("Thanks for reading!")
  # Python comment here
  return True

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 e1930563e9…) 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"
}