Automation

FVWM users who rely on Perl scripts for window manager automation often find themselves stuck in legacy codebases. The FVWM Perl to Python Converter helps bridge that gap, translating existing Perl modules into clean, modern Python code. If you’re managing custom FVWM setups and avoiding Perl dependencies, this tool can save you hours of manual rework. The Manual Way (And Why It Breaks) Manually converting Perl scripts to Python for FVWM automation is a tedious and error-prone process....

Marketplace data extraction from Amazon product listings used to require hours of manual effort. Copying brand names, parsing promotion text, and organizing results into clean reports was tedious and error-prone. For analysts and developers working with competitor data, it’s a bottleneck that slows down insights. The Manual Way (And Why It Breaks) Manually sifting through Amazon exports is not just slow—it’s prone to mistakes. You must open each file, scan the product rows, and extract brand names and promotion terms like “deal,” “coupon,” or “off....

This tool automatically translates FvwmTabs Perl scripts into Python code, preserving window manager logic. It’s for FVWM users and sysadmins who want to maintain their custom setups without Perl dependencies. The key benefit is future-proofing your desktop configuration with a clean Python codebase. Features Parses FvwmTabs Perl syntax and translates core functions Generates Python classes for FVWM modules and menu definitions Preserves comments and original structure where possible Outputs runnable Python 3 code with standard library imports Includes a validation mode to check translation accuracy Usage fvwm_converter --input ~/....

We just released FVWM Perl to Python Converter — convert legacy fvwm perl configuration scripts to modern python modules. What it does This tool automatically translates FvwmTabs Perl scripts into Python code, preserving window manager logic. It’s for FVWM users and sysadmins who want to maintain their custom setups without Perl dependencies. The key benefit is future-proofing your desktop configuration with a clean Python codebase. Features Parses FvwmTabs Perl syntax and translates core functions Generates Python classes for FVWM modules and menu definitions Preserves comments and original structure where possible Outputs runnable Python 3 code with standard library imports Includes a validation mode to check translation accuracy Usage fvwm_converter --input ~/....

python social media automation tools can save hours of manual work — especially when dealing with Facebook group exports. But what happens when the Facebook data export comes as a massive, nested JSON file? That’s where automation breaks down. Most people end up manually copying and pasting data across spreadsheets, trying to maintain post hierarchy and reaction counts. For researchers or group admins, the process becomes a headache — especially when looking to analyze trends or archive discussions....

Photo to spreadsheet conversion is a time-consuming task often done manually, especially when field workers or researchers scan paper forms and then type data into Excel. The process is error-prone, repetitive, and slows down workflows. With tools like OCR Python and image to text Python, developers can automate parts of this process—but doing it right requires handling form layouts, checkboxes, and structured output. The Manual Way (And Why It Breaks) Manually entering data from paper forms is tedious and inefficient....

This Python script processes exported Amazon product data (CSV/JSON) to extract and organize brand names and active promotion details. It’s for developers and analysts who need to analyze competitor promotions and brand presence without live scraping. The key benefit is clean, structured data from your own exports. Features Parse exported Amazon product listings from CSV or JSON files Extract and deduplicate brand names from product data Identify and list promotion keywords (e....

We just released Marketplace Brand and Promotion Data Extractor — extract brand and promotion details from amazon product listings using exported data. What it does This Python script processes exported Amazon product data (CSV/JSON) to extract and organize brand names and active promotion details. It’s for developers and analysts who need to analyze competitor promotions and brand presence without live scraping. The key benefit is clean, structured data from your own exports....

python video automation doesn’t have to mean manual drudgery. For content creators and media managers handling dozens or hundreds of video files, the repetitive task of renaming and tagging can quickly become a bottleneck. A simple tool that automates these tasks — like a video metadata batch processor — is a necessity for those looking to scale their workflow. When you’re juggling multiple projects, the last thing you want is to spend hours manually updating file names and metadata....

We just released Photo to Spreadsheet Form Converter — extract structured form data from photos into an excel spreadsheet. What it does This tool uses OCR and computer vision to detect and read form fields in a photo, then outputs the data to an Excel file. It’s for researchers, field workers, and office staff who need to digitize paper forms quickly. The key benefit is automating manual data entry from images....

We just released Social Media Group Posts Exporter — export your facebook group posts and comments to structured csv files. What it does This tool processes a Facebook group data export (JSON) and extracts all posts and comments into clean, organized CSV files. It’s for group admins and researchers who need to archive or analyze discussions offline. The key benefit is turning Facebook’s complex nested JSON into simple, spreadsheet-ready data....

This tool uses OCR and computer vision to detect and read form fields in a photo, then outputs the data to an Excel file. It’s for researchers, field workers, and office staff who need to digitize paper forms quickly. The key benefit is automating manual data entry from images. Features Extract text from form photos using Tesseract OCR Detect checkboxes and radio buttons via image processing Map extracted data to structured Excel columns Process multiple photos into a single consolidated Excel file Handle common form layouts like tables and labeled fields Usage photo_to_excel --input-form-photo survey_photo....