Pics.io + PostgreSQL Integrations, Built by an AI Agent
Put Pics.io + PostgreSQL to work with AI and enterprise-grade automation
4.9/5 on G2·
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Workflows you can build between Pics.io and PostgreSQL
See the kind of workflows teams build with Pics.io and PostgreSQL below — describe the exact one you want above and the Agent builds it on demand.
Log uploaded file metadata into a database
Whenever a new file is uploaded in Pics.io, insert a row into PostgreSQL to track file paths, file sizes, and owner details.
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Create storage folders for new database entries
When a new project record is inserted into PostgreSQL, automatically create a corresponding project directory in Pics.io.
See details
Browse the full workflow library →
Looking to achieve something else with Pics.io and PostgreSQL?
Just describe what you need — the Agent researches both APIs and builds the real automation on demand.
Try Knit FreeTriggers & actions for Pics.io and PostgreSQL
Everything Pics.io and PostgreSQL can do inside a workflow — the triggers that start one and the actions that run when it fires.
Pics.io Explore Pics.io →
Pics.io is a digital asset management platform that organizes, stores, and allows teams to share digital media files.
TriggersTriggers when asset is assigned to teammate.
Triggers when asset is added to particular collection.
Triggers when asset is color changed.
Triggers when asset is flag changed.
Triggers when asset is metadata changed.
Triggers when asset is moved to collection.
Creates a collection.
PostgreSQL Explore PostgreSQL →
PostgreSQL is an open-source object-relational database management system known for its strong data reliability, feature robustness, and extensible SQL capabilities.
TriggersTriggers when you add a new column.
Triggers when you add a new row.
Triggers when new rows are returned from a custom query that you provide. Advanced Users Only .
Triggers when you add a new table.
Triggers when a new row is added or modified.
Adds a new row.
Updates an existing row.
Other Files & Storage apps on Knit
Explore more Files & Storage integrations you can automate with Knit — or describe a custom workflow and the Agent builds it.
Acquia DAM
Acquia DAM is a cloud-based digital asset management platform for storing, organizing, and distributing brand and media assets.
Adobe Creative Cloud Libraries
Adobe Creative Cloud Libraries is a cloud asset system that enables users to store and share creative assets across applications.
Air
Air is a digital asset management platform designed for creative teams to organize, share, and collaborate on visual media.
Amazon S3
Amazon S3 is a cloud object storage service that offers scalable data storage, retrieval, and backup infrastructure for applications.
Artworker
Artworker is an artwork management and file proofing tool for print production teams to upload, review, and approve print-ready files.
Aryeo
Aryeo is a content delivery and order management platform built specifically for real estate photographers and media companies.
Box
Box is a cloud content management and secure file sharing platform built for enterprise content management and team collaboration.
Brandfolder
Brandfolder is a digital asset management platform that enables organizations to store, organize, and share brand media assets.
Other Databases & Warehouses apps on Knit
Explore more Databases & Warehouses integrations you can automate with Knit — or describe a custom workflow and the Agent builds it.
AITable.ai
AITable.ai is an AI-powered visual database platform that combines spreadsheet flexibility with relational database and workflow automation capabilities.
Amazon Redshift
Amazon Redshift is a fully managed, cloud-based data warehouse service designed for large-scale data storage and SQL analytics.
Amazon Relational Database Services (RDS)
Amazon Relational Database Service is a managed cloud database service that simplifies relational database setup, operation, and scaling.
Autom
Autom is a cloud database platform designed to store, manage, and structure operational data for applications and workflows.
Baserow
Baserow is an open-source no-code database platform that allows users to organize structured data, collaborate, and build custom database applications.
Clappia
A no-code application development platform that allows businesses to create custom mobile and web apps without writing code.
Databricks
Databricks is a unified data analytics and artificial intelligence platform designed for data engineering, processing, and machine learning.
Firebase / Firestore
Firebase and Firestore provide Google cloud database services for storing, syncing, and querying application data in real time.
Customer Stories
See how leading technology firms are scaling their operations
Amazing Product With Exceptional Support from the team. By using Knit we managed to speed up our development by orders of magnitude.
A brilliant tool to let you seamlessly integrate with many different systems. It is very easy to integrate with and customer support is next level.
Seamless integration experience. Well-documented, self-explanatory APIs, and excellent service and support.
Easy to integrate. Knit's dashboard is intuitive for setting up and testing integrations, and the sandbox is extremely useful during development.
Knit shipped a brand-new Timesheet API in a week and handed us a ready-to-use NetSuite sandbox. That velocity is priceless when you're running payroll in 40+ countries.
#1 in Ease of Integrations
4.9 out of 5 stars on G2
Common questions about Pics.io + PostgreSQL
Is there a pre-built Pics.io + PostgreSQL automation?
Not yet, but Knit's Integrations Agent can build one — describe what you want and it researches Pics.io and PostgreSQL's public API docs (or your own uploaded docs) and builds a working automation.
Does this require a pre-built Pics.io or PostgreSQL connector?
No. The Agent works whether or not Pics.io or PostgreSQL already has a pre-built connector in Knit's catalog — it researches the real API surface either way.
How long does it take to build?
Minutes to build a first working version, not weeks — you test it against real data before it goes anywhere near production.
What's the most common Databases & Warehouses + Files & Storage automation?
Writing file metadata (name, folder, uploader, timestamp) from Pics.io into a table in PostgreSQL as files are added, for audit or usage reporting.
Does this sync the actual file contents, or just metadata?
By default just metadata — the Agent can also extract and sync structured content from a file (like a CSV) into PostgreSQL if that's what you need.