Last updated: 2026-06-05

How to Build a File Conversion Workflow in Make.com: Convert PDFs, Images, and Video Without Paying Per Request

TL;DR: - Make.com has no native file conversion — you need an external API wired through the HTTP module - Most free API tiers (CloudConvert, Zamzar, ConvertAPI) cap at 10–25 files per day, which breaks any real batch workflow - ConvertFleet's free API supports 177+ formats — PDF, image, video — and connects to Make via a single HTTP module with no registration required - Processing 100+ files without errors requires Make's Iterator module paired with an error handler and an API that has no per-request rate limits

Make.com is where serious automation builders work. Over 500,000 active teams rely on it (Make.com, 2025) to orchestrate everything from CRM syncs to e-commerce fulfillment pipelines. Yet Make.com file conversion is one of the most-asked topics across the official Make community forum, the r/integromat subreddit, and the Make Facebook group — and almost nothing published addresses it past the surface level.

This guide covers the full picture: how to convert PDFs, images, and video inside a Make scenario using a free external API; how to handle bulk conversions at 100+ files without scenario failures; and which specific configuration mistakes silently corrupt output files or hit rate caps mid-batch without throwing a visible error.

This is for automation builders already comfortable in Make.com who want a production-ready conversion workflow. Not an overview that stops before the hard parts.

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Why Make.com Has No Built-In File Conversion

Make.com's architecture is connector-first — it routes data between applications rather than processing file bytes natively. There is no built-in module to convert PDF to DOCX, JPEG to WebP, or MP4 to WebM. To add file conversion to a scenario, you call an external conversion API through Make's HTTP module, which is the universal adapter for any REST service the platform doesn't have a dedicated connector for.

This is deliberate design, not a product gap. Make's strength is orchestration: triggering actions, mapping data fields, conditional branching, looping. Heavy compute — OCR, codec transcoding, format parsing, image compression — belongs outside the platform on services built specifically for it. Make's native file handling covers the basics: downloading a file from cloud storage, uploading it, reading metadata via modules like Google Drive's "Get a File" or Dropbox's "Get File Metadata." The moment you need format transformation, you need an external HTTP call.

Make.com was formerly Integromat, and the HTTP module's flexibility has been constant across both eras. The integromat file conversion API pattern that users built years ago — a POST request carrying binary file data, a binary response mapped to a storage upload module — works identically in Make today. The interface changed; the mechanics didn't.

The challenge isn't the Make side of this. It's selecting an API that won't throttle your batch at request 26, bill per conversion, or quietly return a 200 status with a zero-byte output file when it encounters a format it doesn't actually support.

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What File Conversion API Should You Use with Make.com?

The best file conversion API for a Make.com scenario has no per-request fees, accepts binary file uploads via multipart form data, returns a binary response, and covers the formats your workflow actually processes. Free-tier APIs from CloudConvert, Zamzar, and ConvertAPI all impose hard daily or credit-based limits that make them impractical for production batch automation.

Here's how the major options stack against what a real Make.com workflow needs:

Zamzar's 10-conversion daily ceiling makes it unusable for any workflow triggered more than once per day. CloudConvert's 25-conversion cap works for personal experiments but fails any folder-watch scenario processing a client's weekly deliverables. ConvertAPI's "processing-seconds" billing is the least predictable: a batch of large, complex PDFs can exhaust your monthly free allocation in a single run.

Format coverage by category matters more than the total count. CloudConvert's 218-format number includes niche CAD formats, audio codecs, and e-book containers that most automation workflows never touch. For the format categories that actually appear in document, image, and media pipelines:

For the vast majority of Make.com automation scenarios — document processing, image optimization, media transcoding — ConvertFleet's coverage addresses the practical need without a daily ceiling. The ConvertFleet API connects via the HTTP module like any REST service: no SDK, no Make connector, no registration required to start.

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How to Convert a PDF in Make.com: Step-by-Step

To convert a PDF in Make.com, trigger your scenario with a file source that returns binary data, POST that binary to a conversion API via the HTTP module, then map the returned binary to a cloud storage upload. The entire flow is 3–4 modules. The most common configuration error — leaving HTTP response type on Auto instead of Binary — produces a corrupt output file with no error in the scenario log.

Step 1: Configure your trigger for binary output

Use Google Drive > Watch Files, Dropbox > Watch Files, or a Webhook as your trigger. In Google Drive and Dropbox triggers, enable the Download a file toggle inside the module settings. Without it, the trigger returns only file metadata (name, ID, MIME type) — not the binary data your HTTP module needs to send.

For webhooks receiving file uploads, set payload type to Binary and confirm the sending system encodes files as multipart/form-data.

Step 2: Configure HTTP > Make a Request

• Method: POST
• URL: your conversion API endpoint
• Body type: Multipart/Form-Data
• Field 1 — name: file | Value: map the Data (binary) output from your trigger
• Field 2 — name: target_format | Value: docx (or xlsx, txt, jpg, png, webp, mp4, etc.)

The field name file must match the API's documented parameter name exactly — check the API spec before testing.

Step 3: Set response handling to Binary (critical)

In the HTTP module's Advanced Settings: - Parse response: Yes - Response type: Binary

Leaving Response type on Auto causes Make to interpret the returned binary bytes as a UTF-8 text string. Your converted file writes to the destination with a valid filename, opens in its associated application, and displays garbage. The scenario shows a green success tick. This is the silent failure mode that misleads most first-time implementations.

Step 4: Write to destination

Add Google Drive > Upload a File or equivalent. Map: - File data: the Data field from the HTTP module's response body - File name: construct dynamically — use the source filename stripped of its extension plus the new format suffix (e.g., {{replace(1.name, ".pdf", "")}}.docx)

Step 5: Test, then activate

Run once manually with a real file. Confirm the HTTP module returns status 200, open the converted file from your destination folder and verify it's valid, then activate. For other input formats — images, video, spreadsheets — only the target_format value changes. The module architecture is identical whether you're running a make scenario convert PDF, a HEIC-to-JPEG pipeline, or an MP4-to-WebM transcoder.

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How to Convert Images Automatically in Make.com

Image conversion in Make.com uses the identical HTTP module pattern as PDFs. The dominant production use cases are HEIC-to-JPEG for iPhone photo uploads, PNG-to-WebP for CDN-served product images, and format normalization across mixed-source media archives. The business case for WebP conversion is concrete: Google's benchmarks show lossless WebP images are 26% smaller than PNG, and lossy WebP images are 25–34% smaller than JPEG at equivalent visual quality (Google Developers, 2024).

HTTP Archive's 2024 Web Almanac recorded WebP in use on 67% of analyzed mobile pages — up from 28% in 2021 — signaling a format shift that any automation pipeline handling image uploads should reflect. A product catalog of 1,000 images averaging 500 KB as PNG saves roughly 130 MB of storage on a WebP conversion, which translates directly to lower CDN bandwidth costs and faster Core Web Vitals scores.

Real workflows running in production today:

• Photography delivery: Client uploads raw HEIC files to a shared Dropbox folder → scenario converts to full-resolution JPEG → delivers to client's Google Drive, posts a Slack notification with the converted file count
• E-commerce media: New supplier images arrive in Google Drive as PNG → scenario converts to WebP → pushes to CDN via an S3 Upload module → triggers a Shopify product variant update
• Press kit automation: PR team submits 300 DPI print images via a Typeform file upload → scenario resizes and converts to 72 DPI JPEG via the API's resize parameter → stores in a shared Google Drive folder for media contacts

HEIC is worth special attention: Apple's patent licensing on the HEIC container format made open-source implementation legally complicated for years. LibHEIF handles it correctly. Older ImageMagick builds and some cloud conversion wrappers fail silently on HEIC inputs — they return HTTP 200 with a zero-byte output file. Test any API you're evaluating against an actual iPhone HEIC before building the scenario around it.

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How to Process Video Files in Make.com

Video conversion in Make.com uses the same HTTP module pattern as any other format, but two failure modes kill most first attempts: Make's 40-second default HTTP timeout fires before large files finish transcoding, and APIs without native FFmpeg support only handle H.264 and fail on H.265, VP9, or AV1 inputs. Use an FFmpeg-backed API and either raise the timeout or implement an async webhook pattern for files over 200 MB.

FFmpeg is the transcoding engine behind YouTube's video pipeline, VLC, and most broadcast production systems. An API built on FFmpeg handles H.264, H.265 (HEVC), VP9, AV1, WebM, MKV, MOV, and the obscure container formats that simpler wrappers reject with a 400 error. If your automation touches user-submitted video — conference recordings, client project files, social media clips — FFmpeg-backed conversion is non-negotiable.

Configuring Make's HTTP timeout for video

Make's HTTP module supports a maximum timeout of 300 seconds (5 minutes). For files under approximately 200 MB at 1080p, increasing to 300 seconds covers most transcoding without architectural changes.

For larger files, implement an async pattern: 1. POST the file's URL (not the binary) to the conversion API — the API fetches the source file directly, bypassing Make's download step 2. Receive a job_id in the API response 3. The API sends a webhook callback when conversion completes 4. A second Make scenario listens on that webhook URL, downloads the converted output, and writes to storage

Make handles this cleanly. Generate the webhook listener URL using Make's Custom Webhook module, paste it into the initial conversion request as a callback_url parameter, and the two-scenario architecture handles any file size without timeout failures.

Video API cost at scale

ConvertAPI bills video conversion by processing-seconds. A 10-minute source file consumes approximately 600 processing-seconds at standard rates — the entire free tier's monthly allocation in one conversion. Billing-by-minute services become expensive fast on corporate video libraries: at 200 videos per month averaging 8 minutes each, processing costs alone can run $80–$120/month before any platform or storage fees. A rate-limit-free API with no per-conversion billing eliminates this line item entirely.

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How to Avoid Rate Limits on File Conversion APIs for Automation

The most reliable way to avoid rate limits in Make.com, n8n, or any automation platform is to choose a conversion API with no daily cap. Rate-limit engineering — Sleep modules, retry logic, key rotation — adds complexity to solve an artificial constraint. Remove the constraint and you never need the engineering.

For teams committed to a rate-limited API in the short term, four strategies reduce failure rate:

Strategy 1: Sleep between iterations Insert Tools > Sleep between your Iterator and HTTP conversion module. Set it to 2,000–3,000 ms. A 50-file batch becomes ~2.5 minutes of wall-clock time instead of ~5 seconds of burst requests. Most APIs enforce per-minute limits, not just per-day — spreading requests defuses both.

Strategy 2: Error handler with Resume and delay On the HTTP module, add an error handler route, set type to Resume, and configure a 10–30 second retry delay. When a 429 comes back, the scenario pauses on that item, retries once, and continues. This handles per-minute throttling without stopping the batch. It does nothing for per-day hard caps.

Strategy 3: Monitor 429s before the batch ends Set your error handler to Catch, log the filename and HTTP status to Google Sheets, then route back to the Iterator to continue. After the batch, inspect the log. If you see 429s from item 26 onward on CloudConvert, you know the cap fired — reprocess those items the following day or switch APIs.

Strategy 4: Switch to a capless API The engineering time for Strategies 1–3 is real. Implementing them, testing edge cases, debugging the retry logic — that's 4–8 hours for a workflow that a capless API would have running in 15 minutes. For any workflow processing more than 50 files per day, the switching cost is paid back in the first week.

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Make.com vs. n8n for File Conversion: Which Platform Wins?

For file conversion specifically, Make.com and n8n are functionally equivalent — both call an external REST API via an HTTP module, both handle binary responses, both support Iterator/loop patterns for batch processing. The platform choice comes down to team profile and hosting preference, not conversion capability.

What is the best free file conversion API for n8n?

The best free file conversion API for n8n is the same answer as for Make.com: an API with no daily conversion cap, multipart form-data support, and binary file response capability. ConvertFleet's API configuration in n8n's HTTP Request node is nearly identical to Make's HTTP module:

• Method: POST
• URL: the API conversion endpoint
• Body content type: multipart-form-data
• Binary property: map your input file from the upstream node's binary output
• Response format: File — this is the n8n equivalent of Make's Binary response type, and the same step most n8n users miss on first setup

n8n defaults HTTP responses to JSON. A binary file returned through a JSON-mode HTTP node produces the same corrupt output as Make's Auto response type. Set Response format: File explicitly on every node returning a converted file.

Where n8n has an operational advantage for bulk conversion: n8n's self-hosted deployment on your own server means a 500-file batch costs zero in platform fees. In Make.com, that same batch consumes 2,000 operations (4 modules × 500 files) against your monthly plan allocation. For organizations running high-volume document processing, n8n self-hosted plus a capless conversion API is the lower total-cost-of-ownership path. The n8n file conversion guide covers the full n8n configuration with screenshots.

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How to Handle 100+ File Conversions Without Your Scenario Breaking

To reliably convert 100+ files in a Make.com scenario, use the Iterator module to pass each file individually through your HTTP conversion module, attach a Catch error handler that logs failures to a spreadsheet without stopping the batch, and choose a rate-limit-free API. Without the error handler, one zero-byte or oversized source file halts the entire run at that position.

The production architecture:

[File List Source] → [Iterator] → [HTTP Conversion Module]
                                         ├── Success → [Storage Destination]
                                         └── Error  → [Google Sheets: filename + error code + timestamp]

Why Iterator is non-negotiable. Make cannot pass an array of binary files to an HTTP module simultaneously — the module processes one request per execution cycle. The Iterator takes any array output — a Google Drive folder listing, a spreadsheet column, a JSON array from a webhook — and emits one item per cycle. Without it, you're either hardcoding file paths (which breaks the moment the file list changes) or triggering separate scenario runs per file (which destroys your operation budget).

Operation budget math. Make's Core plan includes 10,000 operations/month. A 4-module batch scenario (trigger + iterator + HTTP conversion + storage write) consumes 4 operations per file. A 100-file batch: 400 operations. At one daily run: 12,000 operations/month — slightly over Core, well within the Pro plan's 100,000 operations. The Pro plan supports 25,000 such conversions monthly, enough for enterprise-scale document processing at a realistic volume.

Error logging configuration. Route the HTTP Catch handler to Google Sheets > Add a Row with columns: source filename, error code, API response body (first 500 characters), timestamp. After each batch, filter the sheet for non-empty error codes. Requeue those filenames through a separate manual scenario run without touching the files that already succeeded. Without this log, you're manually comparing input and output folders to identify which 3 of 150 files silently failed.

Sleep interval. Even with a capless API, a 500ms–1,000ms sleep between conversions reduces network-layer throttling on the API server. A 100-file batch extends from ~90 seconds to ~2.5 minutes — negligible for any scheduled scenario, meaningful for reliability at volume.

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Common Mistakes That Break Make.com File Conversion Scenarios

The single most common Make.com file conversion failure is leaving HTTP response type on Auto instead of Binary — the scenario reports green-check success but every output file is corrupt. The second is building a batch workflow on a rate-capped free API tier and not discovering the ceiling until request 26 of a 150-file client job.

Mistake 1: Auto response type produces unreadable output HTTP module default: Parse response: Yes, Response type: Auto. Make interprets binary bytes as UTF-8 text, encoding them as a malformed string. The file writes to your destination folder with a valid name, opens in the target application, and is unreadable. Zero error in the scenario log. Fix: set Response type: Binary explicitly on every HTTP module returning a converted file.

Mistake 2: Rate-limited API in production with no monitoring CloudConvert returns HTTP 429 at request 26 on a free key. If your scenario's error handler is set to Ignore, the batch "completes" with a 74% silent failure rate. Fix: use a capless API, or set error handlers to Catch and log 429s explicitly — a 429 row in your error spreadsheet tells you exactly where the cap fired and what needs reprocessing.

Mistake 3: Not checking file size against API limits Zamzar's free tier caps input files at 50 MB. A multi-page print-ready PDF or a 3-minute corporate video at 4K typically exceeds this. Your scenario sends the file, the API returns 400 or 413, and the error message often says "file too large" — which is solvable, but only if you've built in an error handler to surface it. Validate your actual source files against your chosen API's size limit before building.

Mistake 4: Default 40-second timeout on video conversion Make's HTTP module times out after 40 seconds by default. A 200 MB video takes 90–180 seconds to transcode on a shared API server. The scenario fails with a generic timeout error — not a conversion error — which points troubleshooting in the wrong direction. Fix: increase timeout to 300 seconds in the HTTP module's advanced settings, or implement the async webhook pattern for video.

Mistake 5: No error handler on the HTTP module A zero-byte file, an unrecognized format, an oversized input — any of these throws an error that stops the Iterator at that position. Every file after it never processes. Add a Catch error route on the HTTP module. One bad file loses one conversion; the rest of the batch continues.

Mistake 6: Hardcoding target_format When the format requirement changes — DOCX instead of PDF, WebP instead of JPEG — a hardcoded value means editing the scenario. Map target_format from a variable instead: a Make data store entry, a spreadsheet column in your trigger input, or a field in your webhook payload. One data update changes the pipeline's output format without touching the scenario structure.

Mistake 7: Not validating binary output size before the destination write Make scenarios can forward a zero-byte binary response to a storage upload module without throwing an error — the file writes to Google Drive or Dropbox with a valid filename and zero bytes of content. Add a Router before the destination module with a filter condition that checks length(http.data) > 0. Files that pass go to storage; zero-byte responses route to the error log. This catches silent API failures that return HTTP 200 with empty bodies.

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Frequently Asked Questions

What is the best free file conversion API for Make.com? The best free file conversion API for Make.com is one with no daily conversion cap, a REST multipart form-data interface, and binary response support — all compatible with Make's HTTP module. ConvertFleet covers 177+ formats including PDF, image, and video, with no registration or per-conversion fees. For production scenarios where batch size varies and rate-limit engineering is not an option, no-cap APIs are the only viable choice.

What is the best free file conversion API for n8n? The best free file conversion API for n8n is the same as for Make.com: ConvertFleet or any API with no daily cap and binary file response support. In n8n's HTTP Request node, set Body content type to multipart-form-data and Response format to File (not JSON). The configuration is nearly identical to Make's HTTP module, and the same API endpoint works on both platforms without modification.

How can I avoid rate limits on file conversion APIs for automation? The cleanest solution is choosing a capless API and eliminating the problem. If you're committed to a rate-limited API, add a Sleep module between iterations (2–3 seconds per request), configure error handlers to catch and log 429 responses rather than halt the scenario, and inspect error logs after each batch. These strategies manage rate limits; they don't remove them. Switching to a capless API eliminates the ongoing maintenance burden.

Can Make.com convert files natively without a third-party API? No. Make.com has no native file conversion modules. The platform connects and routes data between apps. File format transformation requires calling an external API through Make's HTTP module.

How do I convert 100+ files automatically in Make.com without errors? Use Make's Iterator module to process one file per cycle through your HTTP conversion module. Add a Catch error handler on the HTTP module to log failures (filename, error code, timestamp) to Google Sheets without stopping the batch. Use a capless API to prevent 429 errors at high file counts. A 100-file, 4-module scenario consumes 400 Make operations — a small fraction of the Core plan's 10,000/month allowance.

Which file conversion API supports the most formats for free? CloudConvert supports 218+ formats but hard-caps the free tier at 25 conversions per day. ConvertFleet supports 177+ formats — covering all major document, image, video, and audio categories — with no daily limit on the free plan. For automation workflows, the absence of rate limits is more operationally valuable than incremental format count: a 218-format API that stops at request 26 is less useful than a 177-format API that runs through a 500-file batch without interruption.

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Conclusion

Make.com file conversion comes down to three decisions: which external API to call, how to configure the HTTP module for binary responses, and how to handle volume without silent failures. The HTTP module pattern in this guide is identical for PDFs, images, and video — only the target_format parameter changes. The Iterator plus Catch error handler plus error log architecture handles batches of any size and makes reprocessing failures a clean operation instead of a manual investigation.

The choice of API determines whether this workflow is viable in production. A 25-conversion daily cap is a testing ceiling, not a production architecture.

ConvertFleet provides a free API supporting 177+ formats — PDF, image, video, documents — with no registration, no per-request fees, and no daily cap. The same API works in Make.com, n8n, or any custom code environment. Start with the API docs and your first conversion will be running inside a Make scenario within 15 minutes.

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SEO / Publishing Metadata

• Suggested URL: /blog/make-com-file-conversion-workflow
• Internal links used:
• [ConvertFleet API](/api) — API landing page (pillar link up)
• [PDF tools guide](/pdf-tools) — sibling cluster link
• [n8n file conversion guide](/blog/n8n-file-conversion) — sibling cluster link
• [FFmpeg API](/ffmpeg-api) — sibling cluster link
• External authority links:
• Google Developers WebP documentation: https://developers.google.com/speed/webp
• Make.com HTTP module docs: https://www.make.com/en/help/tools/http
• CloudConvert pricing (comparison reference): https://cloudconvert.com/pricing

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IMAGE PROMPTS

1. Hero Image (16:9)

Filename: hero-make-com-file-conversion-workflow.png

Alt text: Make.com scenario canvas showing PDF, image, and video files flowing through an HTTP API conversion module into cloud storage

Prompt: Clean modern flat vector illustration, professional SaaS-tech aesthetic, cool blue (#1E3A5F) and slate (#4A5568) palette with bright teal (#00BFA5) as accent. Wide 16:9 composition. Left side: three stacked file icons representing a PDF document (red accent), a photo (amber), and a video file (purple), connected by flowing curved arrows. Center: a large rounded rectangular node representing an HTTP API module, with a small circular conversion icon inside (two rotating arrows). Right side: cloud storage icons for Google Drive and Dropbox with green checkmarks indicating successful upload. Background: soft slate gradient, generous negative space. All shapes have rounded corners, thin outlines, soft drop shadows. No text, no real logos, no photos.

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2. Inline Diagram (16:9)

Filename: make-com-file-conversion-workflow-iterator-flow.png

Alt text: Flow diagram of a Make.com bulk file conversion scenario: file list source feeds an iterator module that loops through HTTP conversion and logs errors

Prompt: Clean modern flat vector diagram, cool blue and slate palette, teal accent. Horizontal left-to-right flow across the full 16:9 canvas. Five distinct rounded rectangular nodes connected by straight arrows with arrowheads: Node 1 (blue): folder/list icon labeled with a stack-of-files symbol. Node 2 (slate): looping arrows icon representing Iterator. Node 3 (teal highlight border): HTTP globe icon representing the conversion API call. Node 4 (blue): cloud upload icon for storage destination. Below Node 3, a dashed downward arrow leads to Node 5 (amber/orange): spreadsheet icon representing error log. A curved dashed loop arrow goes from Node 3 back toward Node 2 to indicate iteration. Soft gradient background, rounded corners throughout, no text, no real logos, generous negative space between nodes.

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3. Inline Comparison / Checklist (16:9)

Filename: make-com-file-conversion-workflow-api-comparison.png

Alt text: Side-by-side comparison of rate-limited vs. unlimited file conversion APIs in a Make.com batch workflow, showing success and failure states

Prompt: Clean modern flat vector two-panel comparison illustration, 16:9, cool blue and slate palette with teal and red accents. Left panel (labeled with a subtle red banner at top): shows a vertical stack of 25 file icons with green checkmarks, then 5 more file icons with red X marks, a warning triangle icon below, and a broken chain link symbol — representing hitting a daily API cap mid-batch. Right panel (labeled with a subtle teal banner at top): shows a continuous vertical stack of 30+ file icons all with green checkmarks, a smooth flowing arrow, and a trophy/star icon at the bottom — representing unlimited conversions. Center divider: a thin vertical slate line. Background: very light slate gray, rounded card shapes for each panel with subtle shadow, no text baked in, no real logos, soft gradients on panel backgrounds.

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SCHEMA (JSON-LD)

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