Hapi Image Pipeline Guide

Hapi Image Pipeline Guide

Hapi Image Pipeline is a HapiPic Pro feature for image batch processing, bulk image generation, and automated production. It is suitable for image batch processing, batch image pipeline, image processing workflow. This document describes every screen parameter so users can configure the feature before a full batch run.

Use Cases

• Process ecommerce images, social media graphics, print assets, local photos, or project files in bulk.
• Apply consistent rules for generation, sorting, conversion, cropping, stitching, or export.
• Keep output size, file format, naming rules, folder structure, and production flow consistent.

Basic Workflow

1. Open HapiPic Pro and choose “Hapi Image Pipeline”.
2. Prepare source images, asset files, project folders, or configuration files.
3. Set input, output, size, format, naming, preview, and run options according to the parameter reference.
4. Test with a small batch and confirm that preview and output match the expected result.
5. Save the configuration, then run the program.
6. Check the software log during processing and review the output folder after completion.

Parameter Reference

Input image folder

Folder containing images for the pipeline.

Sort and random

Controls source image processing order.

Skip hidden files

Avoids processing hidden files.

Canvas width and height

Sets final output size.

Background color and transparent

Controls canvas background.

Name template

Uses variables such as source name and index to generate file names.

Overwrite

Controls whether existing files can be replaced.

Output format and compression

Controls generated file type and quality.

Keep EXIF

Keeps image metadata when supported.

Continue on error

Allows the pipeline to continue when a single image fails.

Pipeline steps

Defines the operations applied to each image.

Preview source

Selects an image for previewing the pipeline effect.

License key

Authorizes the feature before running. It does not change output style.

Source folder

Selects the images, files, or project folders to process. Confirm the path exists before running.

Output folder

Sets where generated files are saved. A dedicated empty folder is recommended.

Maximum output count

Limits how many files are generated or processed in one run.

Clear output folder

Removes existing output files before running. Use only when old results are not needed.

Save config

Stores the current settings for this feature. Save before running a batch.

Run program

Starts the task. If a task is running, the same button may stop it.

Software log

Shows progress and errors. Check this first if generation fails.

Output and Run

Before running, make sure the output folder exists. If clear output is enabled, confirm that the folder does not contain files you need to keep. For large jobs, use a dedicated output folder for review, archiving, and regeneration.

FAQ

Why were fewer files processed than expected?

This is usually related to source file count, maximum output count, filters, sorting, or mode settings. Check the input folder and quantity limits first.

Why does the output differ from the preview?

Check size, crop mode, compression quality, background, text placement, sorting, output format, and the preview sample.

Should I overwrite original files?

Use a separate output folder and replace originals only after checking the generated results.

Tips

• Test with 3 to 5 files before processing many files.
• Use clear source filenames for sorting, troubleshooting, and archiving.
• For ecommerce, print, or social media, confirm size, sharpness, and format requirements first.