Python, Django & FastAPI Development

Python Development Services with Django and FastAPI

Python web applications and APIs built with Django, FastAPI or Flask — plus automation, data processing, OCR and document pipelines.

Python FastAPI and Django code beside the API response and admin screen it produces

Python Development: Web Applications, APIs and Automation

Python earns its place in three areas of our work: fast, typed APIs with FastAPI; complete web applications with Django, where the admin, ORM, auth and migrations come as standard; and automation — the scripts and pipelines that process documents, clean data, generate reports or move information between systems nobody wants to touch manually.

Django suits products that need a back office on day one: a content or records system, a marketplace, a booking platform or an internal tool. FastAPI suits services where throughput and clear contracts matter, including the API layer in front of machine-learning or OCR work, because it validates requests with Pydantic and documents itself with OpenAPI.

We write typed, tested Python, keep dependencies pinned, run migrations in a controlled way and ship with proper logging and health checks — so the difference between a script that worked once and a service you can rely on is not left to chance.

What’s Included

What We Build with Python

  • Django Web Applications

    Full applications with the Django admin, authentication, permissions, migrations and a structured data model.

  • FastAPI Services

    High-performance async APIs with Pydantic validation, automatic OpenAPI docs and typed clients.

  • Automation & Data Pipelines

    Scheduled jobs for imports, exports, scraping, reconciliation and reporting, with retries and alerting.

  • Document, OCR & File Processing

    PDF and image pipelines — extraction, OCR, classification and structured output into your database.

  • Integrations

    Connecting Python services to your website, CRM, ERP, accounting system or third-party APIs.

  • Celery Queues & Background Work

    Long-running tasks moved off the request cycle with Celery or RQ, monitored and safely retried.

Benefits

Why Python for This Work?

  • Unmatched library coverage for data, documents, imaging, scientific work and AI.
  • Django gives you a production-grade admin and auth system on day one.
  • FastAPI is genuinely fast and produces API documentation your other teams can use.
  • Readable code that data and operations people can often follow themselves.
  • The natural language to sit next to any machine-learning or OCR component.

Technologies Used for Python, Django & FastAPI Development

  • Python 3.12
  • Django
  • Django REST Framework
  • FastAPI
  • Flask
  • Pydantic
  • SQLAlchemy
  • Celery
  • PostgreSQL
  • Redis
  • Pandas
  • pytest

We recommend the right tools for your goals, budget and team — never a one-size-fits-all stack.

Discuss Your Project

How We Work

Our Python, Django & FastAPI Development Process

  1. Discovery & Consultation

    We learn about your business, audience and goals, review any existing website and agree on clear success criteria.

  2. Strategy & Planning

    We define the sitemap, features, technology stack and timeline, so scope and budget are clear before work begins.

  3. UI/UX Design

    We design wireframes and polished, responsive layouts for your approval, focused on usability and conversions.

  4. Development

    We build with clean, standards-based code, integrate your tools and set up an easy-to-use content editor.

  5. Testing & QA

    We test functionality, speed, security, accessibility and SEO across browsers and devices before launch.

  6. Launch & Support

    We deploy, monitor and fine-tune your site, then provide ongoing maintenance and support as you grow.

FAQ

Python, Django & FastAPI Development FAQs

Django or FastAPI?

Django when you want a complete application with an admin, templates, auth and an ORM out of the box. FastAPI when you need a fast, well-documented API layer — often in front of data or AI work — and the front end lives elsewhere. They also coexist happily in one system.

Can Python work alongside our PHP or Node.js site?

Yes, and that is common. The Python service handles the heavy processing or integration work and exposes an API your existing site calls, so nothing has to be rewritten.

Can you automate a manual process we run in spreadsheets?

Usually yes. We map the current steps, build a tested script or service to perform them, add validation and logging, and schedule it — then show your team how to see what ran and what failed.

Do you work with OCR and document extraction?

Yes. We build pipelines that take PDFs or scans, extract text and fields, validate the output and write structured records into your database, with a review screen for anything below a confidence threshold.

Explore More

Technologies and services that work well alongside python, django & fastapi development.

  • React Development

    Custom React.js front ends, dashboards and single-page applications built with TypeScript, reusable components and server-side rendering for SEO.

  • Next.js Development

    Next.js websites and web apps with server-side rendering, static generation, image optimisation and route-level code splitting for top Core Web Vitals.

  • Vue.js & Nuxt Development

    Vue 3 applications and server-rendered Nuxt websites — Composition API, Pinia state, TypeScript and fast, SEO-ready pages.

  • Angular Development

    Angular applications for large teams — typed architecture, RxJS data flows, standalone components, testing and long-term upgrade support.

Case Studies & Live Demos

Python, Django & FastAPI Development in Practice

Projects where this work made a measurable difference — the problem, what we built and the results. Each one has a working demo you can try.

  • Accounting Finance — Ledgerline Accountants
    • Python
    • FastAPI
    • Tesseract OCR

    Data Automation & OCR

    Invoice Processing & OCR Automation

    A Python pipeline that reads 18,400 supplier documents a month and posts 93% of them without a person keying anything.

  • Man at a laptop in an office — Helm Software
    • Python
    • FastAPI
    • Vector database

    AI Integration

    Support Assistant Grounded in Product Documentation

    A retrieval-based assistant answering customer questions from the vendor’s own documentation, with citations.

  • Containers Bins — Stanmore Haulage
    • Azure Document Intelligence
    • Python
    • FastAPI

    Data Automation & OCR

    Proof-of-Delivery Capture with OCR for a Haulage Firm

    Photos of signed delivery notes turned into invoice-ready data automatically, cutting the gap between delivery and invoice from six days to one.

  • Semi trucks line up to pick — Northline Freight
    • React
    • TypeScript
    • Node.js

    Web Application Development

    Freight Dispatch & Driver Tracking Platform

    A live dispatch board built in React and Node.js that replaced a spreadsheet-and-phone workflow for 120 drivers.

  • Tools Workshop — Quotely
    • Ruby on Rails
    • Hotwire (Turbo & Stimulus)
    • PostgreSQL

    SaaS Product Development

    Field-Service Quoting SaaS

    A Rails MVP taken from idea to paying subscribers in ten weeks, with Stripe billing and Hotwire interactivity.

  • Antique Watch — Ridgemont Auctions
    • Elixir
    • Phoenix Channels
    • Go

    Real-Time Web Platform

    Live Auction Bidding Platform

    An Elixir and Go platform holding 11,000+ concurrent bidders per sale with bid latency measured in milliseconds.

See the full portfolio

From the Blog

Guides and Comparisons Worth Reading

Straight answers on when this technology is the right choice, what it costs and how to get the most from it.

  • Python development with Django and FastAPI frameworks

    Django vs FastAPI: Choosing a Python Web Framework

    Django gives you a complete application with an admin panel. FastAPI gives you a fast, typed API and nothing else. The right answer depends on what you are building.

  • Person writing notes in a notebook next to an open laptop

    Keeping an AI Support Assistant Accurate When Your Documentation Changes

    A support assistant that answers from your documentation is only as current as its copy of that documentation. Here is how answers go stale, how to re-index properly, how to turn unanswered questions into a weekly to-do list, and who should own the content once the assistant is live.

  • Field worker in a hard hat and high-visibility vest pointing at equipment on site

    Offline-First PWAs: Building Field Apps That Work Without Signal

    Inspection crews, carers, drivers and engineers work where the signal does not. A progressive web app that is designed offline-first keeps them working and syncs when it can. Here is how we build one, and when a PWA beats an app store app.

Python, Django & FastAPI Development Enquiry

Tell Us About Your Python Project

Tell us whether this is a web application, an API or automation work, and what data it has to handle.

  • Reply within 24 hoursA real person reviews every request.
  • Free consultationHonest advice, no obligation.
  • 100% confidentialHappy to sign an NDA.

What happens next?

  1. We review your requirements
  2. We reply with questions or a call slot
  3. You receive a clear, itemised proposal
1 Your project
2 Python, Django & FastAPI Development requirements

Your Python project

Data sources involved (select all that apply)

Project scope

Who will use it? (select all that apply)

Technology

Preferred technology (select all that apply)
Requirements / documentation

Integrations & hosting

Integrations needed (select all that apply)
Design / UI
Hosting / deployment
3 Budget & timeline
4 Your details

Tick the box and answer one quick question.