2026-04-20T12-41Z
4/20/2026, 12:41:28 PM · 1 flow · 136,610ms total
⚠️
Settings differ from production defaults
This run used 1 setting that don't match the current app_defaults.yaml (asOf 2026-04-19).
| Key | Run value | Default |
|---|---|---|
| videoFramesPerSecond | 2 | 1 |
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
video
ok pipeline →
Input media
No media file found for this input.
IMG_4558.mov37.21 MBsha256 96059437ee…
Input id
BBBB0003
Total
136.61s
Output
484 words
5085 chars
Cost est
$0.00146
gemini-2.5-flash · basis: chars
in 9,287 · out 2,542 tok
Stage timings
frame-extraction
0ms
s3-upload
3.91s
cloud-processing
132.70s
Stage details
| frame-extraction | frames 28 |
| s3-upload | bucket qr-video-ocr-frames |
| cloud-processing | lambda backgroundProcessor persisted true chars 5085 |
Extracted text
484 words · 5,085 chars
import * as vscode from "vscode";
import * as aws from "aws-sdk";
export function activate(context: vscode.ExtensionContext) {
const disposable = vscode.commands.registerCommand(
"qrcode-extens…Prompts used
all prompts → frame_ocr gemini-2.5-flash 66326cc5be… · 81 chars
Perform OCR on this image and return plain text only. Do not describe the image.
qr_reader_v1/frame_ocr_lambda.py:31
video_polish gemini-2.5-flash structured JSON sha n/a · 898 chars
Please stitch together the OCRs that are taken from individual screenshots/frames from a video. There should be overlapping lines which can be used as a marker for when one frame ends and another begins. Please do not alter the content in any way besides stitching the content together and please add correct indentation. Do not alter or add any content.
Your final output must be a single, valid JSON object and nothing else. The JSON object must conform to the following structure:
{
"stitched_response": "(string) This key must hold the final, fully reconstructed and cleaned document text.",
"additional_notes": "(string) Use this field to briefly describe your process. Mention any significant noise you filtered out (e.g., 'Removed text from a Save As dialog box') or any ambiguities you encountered during the reconstruction."
}
Here is the raw OCR text from video frames:
{raw_text} qr_reader_v1/video_ocr_polishing_lambda_rest.py:102
Output diff
vs 2026-04-20T01-56Z Diff+8 words−8 words=14 unchanged·56.2% similar (by char)(prior run 2026-04-20T01-56Z → this run)
```json { "stitched_response": "importimport * as vscode from \"vscode\";\nimport"vscode"; import * as aws from \"aws-sdk\";\n\nexport"aws-sdk"; export function activate(context: vscode.ExtensionContext) {\n { const disposable = vscode.co…vscode.commands.registerCommand( "qrcode-extens…
Video credit reconciliation
mismatch Frames
28
Charged
14
Expected (1/frame)
28
Current app bills by duration seconds; at fps=1.0 frames == seconds so this matches by accident. Any non-1.0 fps surfaces a mismatch.
Run settings
Show all 20 values
{
"videoFramesPerSecond": 2,
"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"
}