TrackingMore VS Stract API

TrackingMore's answer

TrackingMore stands out with its robust tracking API which is integrated with1,300+ carriers and 80+ airlines. Our competitive advantages include:

• Enterprise-grade API infrastructure with 99.9% uptime guarantee
• Real-time tracking updates with standardized data format across carriers
• Comprehensive feature set including CSV tracking, branded tracking page, shipping notifications, and analytics
• Multi-language tracking status support for global businesses
• Flexible integration options with API, webhook, and bulk processing capabilities
• Advanced tracking technology with auto-carrier detection
• 24/7 technical support and detailed API documentation

Stract API's answer:

Stract API is different because it lets the people closest to the questions get answers straight from their documents, with no templates, no custom tooling and no manual data entry. You upload your files, describe the data you need in plain language, and Stract API runs every document in the batch from start to finish. It returns clean, structured results you can put to work right away. You choose the model that fits the job, from fast, economical options for high-volume work to the newest, most capable LLMs for your highest-stakes analysis. Under the hood, it draws on techniques from the latest AI research to improve the quality of what gets extracted. The same analysis costs less than 10% of the equivalent staff time, so your team can skip the grind and go straight to analysis. And because sensitive work is the norm for many of your users, Stract API is fully SOC2 compliant, so your documents stay yours.

TrackingMore's answer

TrackingMore is super easy to use—we've got detailed API docs and SDK resources in 7 programming languages to help you get started quickly. Plus, our friendly technical team is here 24/7 to help you out! With cost-effective pricing and lots of customization options, you can build the perfect tracking solution for your business.

Stract API's answer:

A person should choose Stract API over its competitors because it gets them from a pile of documents to usable data with the least effort and risk. They describe what they need in plain language, so they don't build templates or learn a tool's vocabulary. They can use the point-and-click UI or the API for automated workflows, so the same product works for a one-off project and for a recurring pipeline. They also keep control over the tradeoff that matters most to them. They pick the model for each job, from fast, economical options for high-volume work to the newest, most capable LLMs for high-stakes analysis, instead of paying top-tier prices for everything. The extraction itself uses techniques from the latest AI research to improve quality. The cost is under 10% of the equivalent staff time, and results come back fast even on huge batches. Finally, Stract API is fully SOC2 compliant, which matters to teams handling case files, sources and survey data. Together, that means a team clears its "Needs Attention" pile and gets to analysis faster, without trading security or depth for speed.

TrackingMore's answer

TrackingMore is built with robust and modern technologies to ensure reliable tracking data processing and delivery. Our infrastructure is designed to provide high performance, security, and scalability for our global tracking solutions.

Stract API's answer:

The primary technologies used in build Stract API are LLMs, Typescript, React, and Java.

TrackingMore's answer

TrackingMore serves a diverse range of businesses including e-commerce merchants, marketplace platforms, logistics service providers, system integrators, software developers, and financial institutions. Whether you need a simple tracking widget or enterprise-level tracking solutions, TrackingMore is your trusted partner in global logistics visibility.

Stract API's answer:

The primary audience for Stract API is small-to-mid-sized teams, along with enterprises, that run recurring, document-heavy workflows and need to pull consistent information out of growing batches of files faster than manual review allows. These teams are typically staff-constrained, facing rising intake volumes of contracts, case files, forms or survey responses, and working from question lists that keep changing over time. Buyers tend to be operations leaders, legal and contract review leads, insurance claims intake leads, research leads, marketing and CRM operations managers, and engineering teams responsible for pipeline automation. Day-to-day users include the document reviewers who need the extracted information and the developers and analysts who feed that structured output into downstream systems. The audience spans insurance and claims, legal (contracts, discovery and case files), journalism (FOIA releases, court records and meeting minutes), marketing (reviews, support tickets and call transcripts), social science (surveys, interviews and field notes) and academic research. Stract API is a weaker fit for organizations that only need occasional one-off extraction from a handful of documents, or teams committed to strictly template- or regex-driven extraction rather than plain-language field specifications.

TrackingMore's answer

TrackingMore has become the leading tracking API solution chosen by more than 10,000 companies since 2014. We have been focusing on logistics for over ten years. By constantly improving services, and listening carefully to customers' demands, TrackingMore strives to provide users with the best service!

Stract API's answer:

Stract API grew out of founder Matt Moreno's repeated frustration with the same problem. At a construction tech startup in Google's accelerator, his team built an LLM feature that matched a crew's plain-language daily report to labor and material options. It worked, but it was fragile. Parsing the output was hard, bad output was constant, and any change to the structure broke it. When he asked a Google director whether a product existed to extract arbitrary structured data from unstructured text, the director said no, but that Google probably should build one. Later, on a venture to automate land title research, he again spent tens of hours building flexible document extraction. That work pulled him away from the core mission, and he wished a third-party service would handle it. When he had time this summer (2026), he found few existing solutions. Remembering the director's words, he built Stract API, which took five months to reach MVP. It lets users describe the information they want, from simple facts to judgment-heavy analysis, and returns a spreadsheet, CSV or JSON from their documents.

TrackingMore's answer

• SHEIN
• DJI
• AliExpress
• Kaufland
• Aukey
• DHgate
• Printify

Stract API's answer:

Legal services and title companies are growing segments for Stract API