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ZIP Code API VS OpenCV

Compare ZIP Code API VS OpenCV and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

ZIP Code API logo ZIP Code API

REST API for US ZIP, ZIP+4, and Canadian postal codes. Single unified endpoint covers address validation and standardization, radius search (centroid haversine and true spatial polygon intersection), point-to-point distance, autocomplete/typeah

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • ZIP Code API Landing page
    Landing page //
    2026-05-21

API for US ZIP, ZIP+4, and Canadian postal code data. One unified endpoint set covers North America โ€” no separate APIs by country or data type.

What it does

  • Address validation and standardization โ€” production-grade parser with ZIP+4 append, refreshed monthly
  • Radius search โ€” centroid haversine and true spatial polygon intersection. Returns ZIPs/FSAs within range, with per-result pct_inside overlap percentage for spatial queries
  • Unified lookup endpoint โ€” accepts US ZIP, ZIP+4, Canadian FSA, full Canadian postal codes, or latitude/longitude inputs
  • Autocomplete/typeahead โ€” cities, counties, metros, states, FSAs, ZIPs
  • Point-to-point distance โ€” between any two postal points
  • Census ACS demographics โ€” 2011โ€“2024, 542 fields per ZIP across income, education, housing, social, and economic profiles
  • Boundary lookups โ€” Census tracts, congressional districts, state legislative areas, school districts โ€” with computed intersection percentages per ZIP

What makes it different

  • Licensed commercial data โ€” not commodity or scraped sources
  • Canadian postal coverage โ€” most peers in this space are US-only
  • True spatial radius โ€” not just centroid haversine
  • 14 years of historical ACS depth via API โ€” unusual outside of raw Census downloads
  • One endpoint for all of North America โ€” no country-detection or input-routing logic to maintain on the client side

Pricing

  • Free โ€” 2,500 lookups/day, no credit card required, no expiry
  • Developer โ€” $49/mo, 100K credits, 300/min
  • Professional โ€” $149/mo, 350K credits, 300/min
  • Business โ€” $499/mo, 1.5M credits, 600/min
  • Credit packs โ€” one-time, from 25K ($19) up to 2M ($799)

Resources

  • OpenCV Landing page
    Landing page //
    2023-07-29

ZIP Code API features and specs

  • Comprehensive ZIP Code Data
    The ZIP Code API from zip-codes.com provides extensive data including ZIP code details, city information, state data, and geographic coordinates, making it a thorough resource for location-based lookups.
  • Multiple Lookup Options
    The API supports various types of lookups including ZIP code to city/state, city/state to ZIP code, distance calculations between ZIP codes, and radius searches, offering flexible querying capabilities.
  • Easy Integration
    The API uses standard REST-based HTTP requests and returns data in commonly used formats like JSON and XML, making it straightforward to integrate into most applications and programming languages.
  • Distance and Radius Calculations
    The API includes built-in functionality for calculating distances between ZIP codes and finding ZIP codes within a specified radius, which is valuable for store locators, shipping estimates, and proximity-based features.
  • Well-Documented Endpoints
    The API provides clear documentation for its various endpoints and parameters, helping developers understand available features and implement them correctly without extensive trial and error.

OpenCV features and specs

  • Comprehensive Library
    OpenCV offers a wide range of tools for various aspects of computer vision, including image processing, machine learning, and video analysis.
  • Cross-Platform Compatibility
    OpenCV is designed to run on multiple platforms, including Windows, Linux, macOS, Android, and iOS, which makes it versatile for development across different environments.
  • Open Source
    Being open-source, OpenCV is freely available for use and allows developers to inspect, modify, and enhance the code according to their needs.
  • Large Community Support
    A large community of developers and researchers actively contributes to OpenCV, providing extensive support, tutorials, forums, and continuously updated documentation.
  • Real-Time Performance
    OpenCV is highly optimized for real-time applications, making it suitable for performance-critical tasks in various industries such as robotics and interactive installations.
  • Extensive Integration
    OpenCV can easily be integrated with other libraries and frameworks such as TensorFlow, PyTorch, and OpenCL, enhancing its capabilities in deep learning and GPU acceleration.
  • Rich Collection of examples
    OpenCV provides a large number of example codes and sample applications, which can significantly reduce the learning curve for beginners.

Possible disadvantages of OpenCV

  • Steep Learning Curve
    Due to the vast array of functionalities and the complexity of some of its advanced features, beginners may find it challenging to learn and use effectively.
  • Documentation Gaps
    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.
  • Resource Intensive
    Some functions and algorithms in OpenCV can be quite resource-intensive, requiring significant processing power and memory, which can be a limitation for low-end devices.
  • Limited High-Level Abstractions
    OpenCV provides a wealth of low-level functions, but it may lack higher-level abstractions and frameworks, necessitating more hands-on coding and algorithm development.
  • Dependency Management
    Setting up and managing dependencies can be cumbersome, especially when integrating OpenCV with other libraries or on certain operating systems.
  • Backward Compatibility Issues
    With frequent updates and new versions, backward compatibility can sometimes be problematic, potentially breaking existing code when updating.

Analysis of ZIP Code API

Overall verdict

  • ZIP Code API from zip-codes.com is a solid, reliable choice for developers and businesses needing accurate US and Canadian postal code data, offering a straightforward RESTful interface with regularly updated databases.

Why this product is good

  • Provides accurate and frequently updated ZIP code, city, state, and geographic data
  • Offers a simple RESTful API that is easy to integrate into web and mobile applications
  • Supports features like ZIP code lookup, radius search, and distance calculations
  • Includes both US ZIP codes and Canadian postal codes for broader coverage
  • Backed by an established data provider with a long track record in postal data

Recommended for

  • Developers building address validation or autofill features
  • E-commerce platforms needing shipping and location-based calculations
  • Businesses performing geographic or radius-based store locators
  • Applications requiring reliable US and Canadian postal data
  • Marketing and logistics teams that need regional or demographic targeting

Analysis of OpenCV

Overall verdict

  • Yes, OpenCV is considered a good and reliable choice for computer vision tasks, particularly due to its extensive functionality, active community, and flexibility.

Why this product is good

  • OpenCV (Open Source Computer Vision Library) is widely regarded as a robust and versatile library for computer vision applications. It offers a comprehensive collection of functions and algorithms for image processing, video capture, machine learning, and more. Its open-source nature encourages community involvement, making it highly adaptable and continuously improving. OpenCV's cross-platform support and ease of integration with other libraries and languages further enhance its appeal.

Recommended for

  • Developers and researchers working on computer vision projects
  • People looking to implement real-time video analysis
  • Individuals exploring machine learning applications related to image and video processing
  • Anyone interested in experimenting with or learning computer vision concepts

ZIP Code API videos

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OpenCV videos

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AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to ZIP Code API and OpenCV)

ZIP Code API

OpenCV

Zip Lookup
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Data Science And Machine Learning
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Data Science And Machine Learning
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APIs
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User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare ZIP Code API and OpenCV

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OpenCV Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
Source: www.labellerr.com
10 Python Libraries for Computer Vision
OpenCV is the go-to library for computer vision tasks. It boasts a vast collection of algorithms and functions that facilitate tasks such as image and video processing, feature extraction, object detection, and more. Its simple interface, extensive documentation, and compatibility with various platforms make it a preferred choice for both beginners and experts in the field.
Source: clouddevs.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
OpenCV is an open-source computer vision and machine learning software library that was first released in 2000. It was initially developed by Intel, and now it is maintained by the OpenCV Foundation. OpenCV provides a set of tools and software development kits (SDKs) that help developers create computer vision applications. It is written in C++, but it supports several...
Source: www.uubyte.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
These are some of the most basic operations that can be performed with the OpenCV on an image. Apart from this, OpenCV can perform operations such as Image Segmentation, Face Detection, Object Detection, 3-D reconstruction, feature extraction as well.
Source: neptune.ai
5 Ultimate Python Libraries for Image Processing
Pillow is an image processing library for Python derived from the PIL or the Python Imaging Library. Although it is not as powerful and fast as openCV it can be used for simple image manipulation works like cropping, resizing, rotating and greyscaling the image. Another benefit is that it can be used without NumPy and Matplotlib.
Source: towardsdatascience.com

Social recommendations and mentions

Based on our record, OpenCV seems to be more popular. It has been mentiond 62 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

ZIP Code API mentions (0)

We have not tracked any mentions of ZIP Code API yet. Tracking of ZIP Code API recommendations started around May 2026.

OpenCV mentions (62)

  • Computer vision for code: What PVS-Studio saw in OpenCV
    OpenCV is the world's largest open-source computer vision library, supported by the non-profit organization, Open Source Computer Vision Foundation. It offers a wide range of algorithms that cover a variety of tasks, from basic image processing to advanced object recognition and motion analysis. - Source: dev.to / 7 months ago
  • What is the Most Effective AI Tool for App Development Today?
    Google's Gemini and other multimodal models also fit here, especially for mixed-input apps. James Allsopp, Founder of Ask Zyro, suggests, "For anything involving images or mixed inputs, tools like Claude 3 Opus (great for handling long context) or Google's Gemini can work well, depending on what you need for your user interface." These frameworks excel in scenarios requiring visual understanding, such as augmented... - Source: dev.to / 11 months ago
  • Grasping Computer Vision Fundamentals Using Python
    To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isnโ€™t just a tool, itโ€™s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that donโ€™t just interpret visuals, but... - Source: dev.to / about 1 year ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / about 1 year ago
  • Why 2024 Was the Best Year for Visual AI (So Far)
    Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing ZIP Code API and OpenCV, you can also consider the following products

Smarty - Smarty provides address validation, autocomplete, geocoding and reverse geocoding services covering addresses in over 240+ countries.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Zipcodestack - Free Zip Code API - Free Postal Code Validation | Zipcodestack

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

PostalDataPI - The most affordable postal code API. 240+ countries, sub-5 ms responses. Simple, elegant, transparent.

NumPy - NumPy is the fundamental package for scientific computing with Python

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