Spreadsheet & CSV automation
Combine recurring exports, normalize field names, transform values, flag duplicates, check required columns, and generate standard workbooks.
Custom Python scripts and practical workflow tools designed around real inputs, specific rules, and results your team can review.
Combine recurring exports, normalize field names, transform values, flag duplicates, check required columns, and generate standard workbooks.
Turn structured input into consistent summaries, tables, and reports. For document extraction, uncertain fields are held for review.
Batch-rename files using agreed rules, organize directories, establish new project structures, and generate a record of changes.
Apply repeatable validation rules to incoming files, identify missing or inconsistent values, and produce exception reports for staff review.
Automate recurring geoprocessing, coordinate reference checks, layer exports, map production steps, terrain analysis, and documented QA.
Translate a well-defined manual workflow into a repeatable local script that works with your available file types and software environment.
Maybe your team downloads the same reports every Friday, hunts for the right file, or copies data into a new workbook. Those are the kinds of repeatable steps a small script can support.
Automation handles the routine. Your team stays in control of the decisions.
View an actual sample workflow ↗
GeoSite provides scoped, project-based work rather than promising an all-in-one system without understanding your environment.
Discovery. Review example files, workflow frequency, existing software, and the result your team wants.
Build & testing. Implement agreed rules; test on representative valid and exception cases.
Handoff. Agree on delivery formats, source code rights, dependencies, revisions, training, and ongoing support in writing.
Practical boundaries. Human approval remains important for sensitive records, financial decisions, and ambiguous documents.
Not necessarily. Many bounded tasks can be handled by Python scripts or local tools using files and software you already have. Requirements and licenses are reviewed during scoping.
Often yes. Feasibility depends on sample structure, expected variations, system permissions, and the requested result. A sample file is the best starting point.
That depends on risk and data quality. Some repetitive rules can run unattended; outputs involving ambiguous or sensitive inputs may require a staff review step.
Projects are quoted after reviewing the input files, number of steps, complexity, testing requirements, and support needs. There is no one-size-fits-all subscription price.
GeoSite has experience creating repeatable QGIS/Python workflows for data preparation, spatial analysis, mapping, and quality checks. Review the GIS examples.
Include how often it happens, sample input files, and your ideal output. We'll discuss fit and next steps by email.
Request a project review ↗Browse practical ideas for repeatable Excel, CSV, files, documents, reporting, and GIS processes - with realistic review points and limitations.
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