n8n-binary-and-data
Handle files and binary data in n8n correctly
Install / Use
npx skills add czlonkowski/n8n-skills --skill n8n-binary-and-dataInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Content & MediaSupported Platforms
Our assessment of n8n-binary-and-data
n8n-binary-and-data scores 89/100 on our quality scale, 204th of 574 Content & Media skills we index (top 36%).
Its SKILL.md is 15 KB long, well organised into 15 sections with 4 code examples: a thorough specification that gives an agent plenty to work with.
With 6,309 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 10 days ago, so n8n-binary-and-data is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
n8n-binary-and-data compared with similar skills
All 4 of these similar skills score higher than n8n-binary-and-data; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| n8n-binary-and-data (this skill)by czlonkowski | 89 | 6.3k | 10d ago | SKILL.md |
| LocalAIby mudler | 100 | 49.3k | today | MCP Server |
| siyuanby siyuan-note | 100 | 46.5k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 4d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 4d ago | SKILL.md |
Frequently asked questions
- How do I install n8n-binary-and-data?
- Run
npx skills add czlonkowski/n8n-skills --skill n8n-binary-and-data. The install tabs above show the steps for each supported agent. - Which AI agents does n8n-binary-and-data work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is n8n-binary-and-data safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is n8n-binary-and-data still maintained?
- The repository was last updated 10 days ago, so n8n-binary-and-data is actively maintained.
Skill content
View source on GitHubname: n8n-binary-and-data description: Handle files and binary data in n8n correctly. Use when working with files, images, PDFs, attachments, uploads or downloads, base64, vision/multimodal input, or when an AI agent needs a file as tool input or output — and whenever the user mentions $binary, binaryPropertyName, "read the PDF", "attach the file", "send the image", Merge losing binary, or a CDN for chat images. Covers the $binary vs $json split, reading/writing binary, keeping binary alive across transforms with Merge, the agent-tool binary boundary, and the CDN/URL requirement for chat surfaces.
n8n Binary and Data
Every n8n item carries two independent slots: $json for structured data and $binary for file bytes. They travel side by side through the workflow. File contents — the actual PDF, image, or zip — live in $binary, never in $json. Get that split wrong and you read an empty field, lose a file mid-flow, or hand an AI agent a tool input it can't use.
This skill covers where binary lives, how to read and write it, how to keep it from being silently stripped, the hard wall between binary and the AI-agent tool boundary, and why chat surfaces need a URL instead of raw bytes.
The three rules that prevent 90% of binary bugs
-
File contents are in
$binary, not$json. After an HTTP download, a "Read Files", or an email-attachment trigger, the bytes sit in$binary.<key>.$jsonholds metadata at most. Reading$json.datafor file contents gives you nothing. -
Binary cannot cross the AI-agent tool boundary — in either direction. Tool arguments and tool return values are JSON only. An uploaded image can't be passed into a tool as a file, and a tool can't return raw bytes. Pre-stage to storage and pass a key or URL through JSON instead. See
AGENT_TOOL_BINARY.md. -
Chat surfaces render images by URL, not by
$binary. Slack, Discord, Teams, Telegram, embedded webhook chat — none of them read the binary slot. The image has to live somewhere a URL can fetch it. SeeCDN_REQUIREMENT.md.
The two slots
Each item is shaped like this:
{
"json": { "customerId": 42, "status": "sent" },
"binary": {
"invoice": {
"data": "<base64-encoded bytes>",
"mimeType": "application/pdf",
"fileName": "invoice-42.pdf",
"fileExtension": "pdf"
}
}
}
The key inside binary (invoice here) is the binary property name. Most file-handling nodes have a binaryPropertyName parameter that points at it — the producer names the slot, the consumer references it by that name. The default key across most nodes is data, so when nothing tells you otherwise, assume $binary.data.
$json and $binary are separate namespaces. An expression like {{ $binary.invoice.fileName }} reads file metadata; {{ $json.customerId }} reads data. They never mix.
This split also explains a webhook gotcha: a Webhook trigger receiving multipart/form-data puts the uploaded file in $binary and the accompanying form fields in $json.body — so an uploaded file is not somewhere under $json at all. (The $json.body nesting for webhooks is n8n-expression-syntax territory.)
See BINARY_BASICS.md for the full slot anatomy, mime types, and size limits.
Producing binary
You rarely build a $binary slot by hand — nodes populate it for you:
| Source | How binary appears |
|---|---|
| HTTP Request with responseFormat: "file" | Response body lands in $binary.data (or the name you set) |
| Read/Write Files from Disk | File contents read into $binary |
| Storage downloads (S3, Google Drive, Dropbox, etc.) | Downloaded file in $binary.<key> |
| Email triggers with attachments | Each attachment arrives in $binary |
| Provider AI media nodes (image/audio gen) | Set options.binaryPropertyOutput so the bytes land where the next node looks |
For an HTTP download, the one field that matters is responseFormat. Confirm it with get_node on nodes-base.httpRequest — leaving it as the default JSON/string format is the classic reason a downloaded file ends up as garbled text in $json instead of clean bytes in $binary.
Reading and writing binary in a Code node
Most workflows never need to crack open the bytes — they just pass binary through to a consumer (email attachment, file upload, Slack file). When you do need the raw bytes, do it in a Code node.
Read with getBinaryDataBuffer — do not try to base64-decode $binary.<key>.data by hand:
// Code node, "Run Once for Each Item"
const buffer = await this.helpers.getBinaryDataBuffer(0, 'data'); // (itemIndex, propertyName)
const text = buffer.toString('utf-8');
const length = buffer.length;
return [{
json: { ...$json, length },
binary: $input.item.binary, // pass the binary through, or it's gone
}];
Write by building the slot yourself — base64 the bytes plus a mime type and file name:
const text = 'Hello, world!';
return [{
json: { ok: true },
binary: {
report: {
data: Buffer.from(text).toString('base64'),
mimeType: 'text/plain',
fileName: 'report.txt',
fileExtension: 'txt',
},
},
}];
The Code-node sandbox, helpers, and execution modes are the domain of n8n-code-javascript (and n8n-code-python) — use those for the language-level detail. The one binary-specific thing to remember here: a Code node that returns [{ json: {...} }] without re-attaching binary silently drops the file. See BINARY_BASICS.md.
Keeping binary alive across transforms
JSON-only nodes — Edit Fields (Set), Code, IF, and others — can drop the $binary slot from their output. The workflow validates clean and runs without error; the file just isn't there downstream when the email node goes to attach it.
Two ways to keep it:
- Pass-through option on the transforming node. Edit Fields has
includeOtherFields; a Code node can returnbinary: $input.item.binaryexplicitly. Cheapest fix when it's available. - Fan out and Merge by position. Route the source into both the transform and a bypass branch, then recombine with a Merge in
combineByPositionmode. The JSON comes from the transform side, the binary survives on the bypass side.
[Source with binary] ─┬─→ [Edit Fields: change JSON] ─┐
│ (binary stripped here) ├─→ [Merge: combineByPosition] ─→ [Email: attach]
└──────────────────────────────────┘
(bypass — binary passes through untouched)
combineByPosition pairs item N from each input, so the field counts must line up. The connection wiring and the alternatives for many-strip-point chains (upload-early, sub-workflow) are in MERGE_FOR_CONTEXT.md.
The agent-tool binary boundary
This is the sharpest edge. An AI Agent talks to its tools (Custom Code Tool, Call n8n Workflow Tool, HTTP Request Tool, MCP tools) over JSON. Binary does not fit through that pipe in either direction. The fix is the same shape both ways: stage the bytes in storage, pass a key/URL through JSON, fetch on the other side.
Inbound — a user uploads a file the agent's tool must operate on:
- The chat trigger gives you a
files[]array. Split it out and upload each file to private storage under a hashed key. - Re-merge that branch before the agent runs (it's a synchronization barrier, not decoration), and set
executeOnce: trueon the agent so N files don't trigger N agent runs. - Inject the keys into the agent's system prompt, listing both the original name (human context) and the storage key (what the tool needs), with an explicit "use EXACTLY this key".
- The tool receives the key as a string argument and downloads the file from storage itself.
Outbound — a tool generates a file the agent must return:
- The tool sub-workflow generates the binary, uploads it to storage, and returns JSON like
{ "ok": true, "key": "...", "url": "https://...", "mimeType": "image/png" }. - The agent embeds the URL in its reply (or passes the key to another tool).
passthroughBinaryImages: true on the agent only changes what the LLM sees for vision — it does not let tools receive the file, and it's image-only (no PDFs, audio, or video). You still need the upload-and-pass-key pattern for any tool. Full patterns, hash strategy, storage choices, and the long-running-tool variant are in AGENT_TOOL_BINARY.md.
Building the tool itself? See n8n-code-tool for the Custom Code Tool contract and n8n-workflow-patterns for the AI-Agent-with-tools shape.
The CDN requirement for chat surfaces
When a workflow generates an image and the user wants it shown inside a chat message:
- Binary on the item isn't enough. The chat client renders messages that reference images by URL (or pushes bytes through the platform's own file-upload API). It never reads
$binary. - The bytes have to live somewhere a URL can fetch over HTTPS. Upload to an object store or drive first, then embed the returned URL.
- n8n has no built-in CDN. The user provides the storage.
Ask which storage they already use rather than defaulting to S3 — object storage (S3, R2, GCS, Azure Blob, Backblaze B2, Supabase Storage) and drive-style services (Dropbox, Google Drive, OneDrive, Box) all work and all change the URL shape. Cloudflare R2 is the lowest-friction starting point if they have nothing. For sensitive content, use a signed URL with an expiry rather than a permanently public one. See CDN_REQUIREMENT.md.
What's NOT available
$fromAI()cannot carry binary. It fills tool parameters with strings, numbers, booleans, and objects — never file bytes. Pass a storage key instead.- Tool arguments and returns are JSON only. There is no "binary parameter" on an agent tool, in or out.
- n8n ships no CDN or public file host. Serving a file over a URL is always something the user's storage does, not n8n.
getBinaryDataBufferis a Code-node helper. It isn't available in the Custom Code Tool sandbox (see n8n-code-tool).
Where Data Tables live
For persistent tabular storage — reference-counting staged files, tracking which keys are live, dedup — that's the n8n_manage_datatable surface, owned by n8n-mcp-tools-expert. This skill does not cover Data Tables.
Anti-patterns
| Anti-pattern | What goes wrong | Fix |
|---|---|---|
| Reading file contents from $json | Bytes live in $binary; $json is empty or metadata only | Read $binary.<key>, or getBinaryDataBuffer in a Code node |
| HTTP download without responseFormat: "file" | Bytes arrive as mangled text in $json, not clean binary | Set responseFormat: "file" on the HTTP Request node |
| Code node returns [{json:{...}}], no binary | The file is silently dropped downstream | Re-attach binary: $input.item.binary in the return |
| JSON transform (Edit Fields/IF) eats the binary | Email/upload node finds nothing to attach | Pass-through option, or fan out + Merge by position |
| Passing an uploaded file into a tool via $fromAI | $fromAI can't carry binary; the tool gets nothing | Pre-stage to storage, inject the key in the system prompt, tool fetches by key |
| Assuming passthroughBinaryImages lets tools see the file | It only affects what the LLM sees, and only for images | Still need the upload-and-pass-key pattern for tools |
| Tool returns raw binary to the agent | Tool output is JSON; bytes don't survive (and bloat context) | Upload, return { key, url } in JSON |
| Posting $binary to a chat surface and expecting an image | Chat clients render by URL, not raw bytes | Upload to storage/CDN, embed the URL or use the platform file API |
| Hardcoding base64 in a Code node | Huge workflow JSON, slow, leaky | Reference via $binary, or upload and reference by URL |
Reference files
| File | Read when |
|---|---|
| BINARY_BASICS.md |
Truncated for display — read the full file on GitHub.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
