n8n-binary-and-data-official
n8n'de dosyalar, görseller, ekler veya ikili verilerle çalışırken VEYA bir yapay zeka ajanının kullanıcı tarafından yüklenen bir dosyayı araç girdisi olarak alması veya oluşturulan bir dosyayı döndürmesi gerektiğinde kullanın…
npx skills add https://github.com/n8n-io/skills --skill n8n-binary-and-data-officialn8n Binary and Data
n8n handles two kinds of data: JSON (in $json) and binary (in $binary), flowing side-by-side. Binary has sharp edges around agent tools, storage, and display contexts (chat surfaces, message rendering).
For tabular storage (Data Tables), see the n8n-data-tables-official skill.
Non-negotiables
- Binary is in
$binary, not$json. Don't read file contents from$json. - Binary cannot cross the agent tool boundary in either direction. Tool parameters are JSON only (via
fromAi()), and tool results are JSON only. Pre-stage binary in storage and pass keys/URLs through JSON. The agent'spassthroughBinaryImages: truelets the LLM see uploaded images for vision, but it does NOT enable tools to receive them. Seereferences/AGENT_TOOL_BINARY.md.
Strong defaults
- Merge nodes keep binary in context. When a side computation strips binary, merge it back rather than re-fetching. See
references/MERGE_FOR_CONTEXT.md.
Binary basics
In n8n, each item has two slots:
{
json: { ... }, // your data
binary: { // your files
data: { // 'data' is the typical key; can be any name
data: '<base64>',
mimeType: 'application/pdf',
fileName: 'invoice.pdf',
fileExtension: 'pdf',
},
},
}
$binary.<key> reads the named property. Most file-handling nodes have a binaryPropertyName parameter, the key inside $binary.
Setting binary
File-producing nodes (HTTP Request with binary response, Read Files, etc.) populate $binary automatically. To produce binary in a Code node:
return [{
json: { ... },
binary: {
data: {
data: Buffer.from(content).toString('base64'),
mimeType: 'text/plain',
fileName: 'output.txt',
},
},
}]
Reading binary
// In a Code node
const buffer = await this.helpers.getBinaryDataBuffer(0, 'data')
const text = buffer.toString('utf-8')
Most workflows don't need to read binary directly. Pass it through to consumer nodes (email attachments, file uploads, etc.).
See references/BINARY_BASICS.md for more.
Agent tool gymnastics
Agent tools (sub-workflows wired into a LangChain Agent, or workflows exposed as MCP tools) have a constraint: parameters and results are JSON, not binary. Affects both directions.
Inbound (user uploads → tool consumes): the chat trigger gives files[]. The agent can have passthroughBinaryImages: true for vision, but fromAi() can't pass binary to a tool. So:
- Pre-stage uploaded files: hash a key, upload to private storage.
- Inject the keys into the agent's system prompt: "Files passed in: [{originalFileName, fileName}]. Use EXACTLY the
fileNamefield when calling tools." - The tool's
fromAi('imageName', '...', 'string')receives the key. The sub-workflow downloads from storage.
Outbound (tool produces → agent returns): a tool generates a file. It can't return raw binary.
- Generate binary internally.
- Upload to storage, get back URL/key.
- Return JSON:
{ ok: true, file_id: '...', url: '...' }. - The agent embeds the URL in its response, or another tool fetches by key.
For the full pattern including the async-via-webhook variant for long-running tools, see references/AGENT_TOOL_BINARY.md.
Merge for keeping binary in context
A JSON-only operation (Edit Fields, Code, IF) often strips binary from the item. To keep it:
[Source with binary] ─┬─→ [Edit Fields: transform JSON] ─┐
│ ├─→ [Merge: by position] ─→ [Email with attachment]
└─────────────────────────────────────┘
Merge combines the streams, and binary survives. See references/MERGE_FOR_CONTEXT.md.
CDN requirement for chat surfaces
When a workflow generates an image and the user wants it embedded in a chat message (Slack, Discord, Teams, Telegram, embedded webhook chat, etc.):
- Binary on the item isn't enough. Chat surfaces don't read
$binary; they render messages that reference images by URL (or via platform-specific file upload APIs). - The image must live somewhere a URL can fetch. Upload to a CDN or object store first.
- The user configures this storage. Not built into n8n.
Common options span object storage (S3, R2, GCS, Azure Blob, Vercel Blob, Supabase Storage) and drive-style services (Dropbox, Google Drive, OneDrive, Box). Ask the user what they use rather than defaulting to S3.
See references/CDN_REQUIREMENT.md.
Data Tables
For Data Tables, see the n8n-data-tables-official skill. Distinct surface with its own gotchas (default columns, no foreign keys, no JSON column type, manual-mapping UI quirk).
Reference files
| File | Read when |
|---|---|
references/BINARY_BASICS.md | First time handling binary, or reading/writing the $binary slot |
references/AGENT_TOOL_BINARY.md | Agent tool needs a user-uploaded file, or produces a file (the boundary in either direction) |
references/MERGE_FOR_CONTEXT.md | Binary disappears after a JSON transform and needs to re-attach |
references/CDN_REQUIREMENT.md | Showing images in a chat surface or other places that need URL-referenced images |
Anti-patterns
| Anti-pattern | What goes wrong | Fix |
|---|---|---|
Trying to read file content from $json | Binary isn't in $json | Use $binary |
| Building an agent tool that returns binary directly | Tool output is JSON-only, so binary doesn't survive | Upload to storage, return key/URL in JSON (see AGENT_TOOL_BINARY.md) |
Trying to pass uploaded chat files into a tool via fromAi | fromAi doesn't carry binary, so the tool gets nothing | Pre-stage uploads to storage, inject keys in the system prompt, and have the tool download by key |
Setting passthroughBinaryImages: true and assuming tools can now see the file | The flag only affects what the LLM sees, not what tools receive | Still need the upload-and-pass-key pattern for tools |
| Losing binary after a JSON transform | The transform's output item doesn't have binary | Use Merge to combine the JSON output with the binary stream |
| Storing image in n8n binary and expecting a chat surface to display | Chat surfaces need URL-accessible images (or a platform-native file upload), not raw $binary | Upload to CDN, embed URL or use the platform's file API |
| Hardcoding binary base64 in a Code node | Massive workflow JSON, slow, leaky | Reference binary via $binary properly, or upload to storage and reference by URL |