Posts from 2026

Our 🤖 /image/merge Robot has been our go-to for stitching images together, but until now it only produced plain horizontal or vertical sprite sheets. Great for contact sheets and sprite maps, but a bit stiff for anything that needs to be shared with humans.

The Node SDK now ships with Intent commands: high-level CLI commands for quick, common Transloadit jobs.

Some months have already gone by since our most recent team meetup back in August. That doesn’t mean we can’t still tell you a little bit about it, though! In fact, with the frosty days of winter upon us and at the start of a fresh new year, what’s better than a short trip down memory lane to reminisce on a few wonderful days spent baking in the Mediterranean sun?

Give an agent an MCP server or a CLI and it can create Assemblies, upload files, and run transforms. But ask two sessions to "encode this video to HLS" and you get different sequences of calls, different error handling, and different assumptions about which Template to use and where to place outputs.

Sometimes you want to start from a solid, well-tested Template instead of building one from scratch. Today, we’re announcing Builtin Templates: Transloadit-maintained, versioned Templates that you can reference by template_id like any other Template.

Agents are already good at working with text. File pipelines are where things tend to fall apart. What people actually want is simpler: "take this video and turn it into HLS", "make web-ready image variants", "OCR this PDF and give me structured text", "generate thumbnails", "export everything to S3".

We just shipped @transloadit/convex on npm, a new Convex integration for Transloadit that gives a native feel to uploads, file processing, and webhooks. It includes a ready-to-run demo app (wedding gallery), documentation on how to combine it with the Uppy file uploader, and simple server-side helpers to keep secrets off the client and avoid request tampering.

An audio codec (coder/decoder) is the algorithm that compresses and decompresses sound. It decides how audio is stored or streamed, how large the file is for a given quality, and which devices can play it back. Picking the right codec is a balance of fidelity, bitrate, latency, and compatibility.

When uploads finish, users still want to know what’s happening to their files. Our new Assembly Execution Progress feature fills that gap with real-time, per-file progress events during processing, so your UI can show a meaningful status instead of a simple spinner.

Resume parsing is a classic SaaS problem: take messy, real-world documents and extract structured fields that feed ATS pipelines. With Transloadit, you can build that workflow from primitives in a single assembly.

Invoices are a core workflow for finance teams, but extracting fields by hand is slow and error prone. In this Let’s Build, we’ll assemble a small invoice parsing service using Transloadit’s primitives: route files, normalize formats, and ask AI for structured JSON.

Business card scanners are a great example of productizing file workflows. You capture an image, clean it up, then extract contact details into structured fields. Transloadit’s primitives let you assemble that pipeline in a few steps.

Background removal is one of the most popular file-processing workflows for e-commerce, marketing, and design teams. With Transloadit, the core pipeline is just a single step.

The document intelligence market is booming. Companies like Reducto.ai are gaining traction by helping enterprises extract structured data from PDFs and scanned documents. Their value proposition is compelling: upload a document, define a schema, get clean JSON back.