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receiptextractreceiptextract 图像

Agent Skill

receiptextract 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,256

周安装

133

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下载量

1,053
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:receiptextract(receiptextract 图像)
来源仓库:https://github.com/yborunov/receiptextract
安装命令:
openclaw skills install receiptextract
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install receiptextract

简介

用于处理图像、截图或视觉识别相关工作,适合分析图片素材。

  • 使用 ReceiptExtract API 从图像或 PDF 中提取结构化交易数据。
  • 支持商品名称、金额、日期等字段提取。receiptextract 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 通过 clawhub 安装,建议确认权限和维护状态。
  • 需注意是否会触发联网、命令执行或文件读写操作。

SKILL.md

name
receipts
description
Extract structured transaction data from image or PDF receipts using the ReceiptExtract API (https://www.receiptextract.com). Use when the user wants merchant/date/items/tax/total parsed from a receipt photo, scan, or PDF; wants to test ReceiptExtract on sample files; wants JSON/CSV output; or wants help wiring ReceiptExtract into automations, scripts, or agent workflows.
required_env_vars
secrets
network_access

Receipts

Extract transaction data from receipt images or PDFs with ReceiptExtract.

Keep the workflow simple: locate the API token, upload one receipt file (or a directory for bulk mode), inspect the JSON, then present either raw JSON or a cleaned summary. Prefer the bundled helper script for repeatable usage.

Quick workflow

  1. Identify the input file

- Accept common image formats (.jpg, .jpeg, .png, .webp) and PDFs. - If the file came from chat, use the attached local path.

  1. Locate the API token

- Set RECEIPTEXTRACT_API_TOKEN in your environment before running commands. - Do not paste the token back into chat.

  1. Call the upload endpoint

- Endpoint: POST https://www.receiptextract.com/api/receipt/upload - Auth header: Authorization: Bearer <token> - Multipart form field: file

  1. Parse the response

- Success shape typically includes: - success - data.merchant - data.date - data.items[] - data.tax - data.total - data.correctnessCheck - data.taxBreakdown[] - creditInfo - savedReceiptId

  1. Present the result

- For humans: summarize merchant, date, items, tax, total, and any anomalies. - For integrations: return raw JSON or convert to CSV.

Preferred command

Use the helper script:

export RECEIPTEXTRACT_API_TOKEN="your-token"
python3 scripts/extract_receipt.py /path/to/receipt.png

Optional flags:

python3 scripts/extract_receipt.py /path/to/receipt.pdf --format summary
python3 scripts/extract_receipt.py /path/to/receipt.jpg --format csv
python3 scripts/extract_receipt.py --input-dir /path/to/receipts --format summary
python3 scripts/extract_receipt.py --input-dir /path/to/receipts --recursive --format json

Bulk processing

Use --input-dir to process multiple receipts in one run. The helper script sends one API request per file and continues even if some files fail.

  • Supported file types: .jpg, .jpeg, .png, .webp, .pdf
  • Use --recursive to include nested folders
  • Exit code is non-zero when one or more files fail
  • Each receipt consumes credits independently

Fallback command

Use curl when the helper script is unnecessary:

curl -sS -X POST "https://www.receiptextract.com/api/receipt/upload" \
  -H "Authorization: Bearer $RECEIPTEXTRACT_API_TOKEN" \
  -F "file=@/path/to/receipt.png"

Output handling

JSON

Prefer JSON when the user wants the full extracted payload or when another tool will consume the result. In bulk mode, JSON includes processed, succeeded, failed, and per-file results.

Summary

In bulk mode, summary prints one status line per file followed by total counts.

Use a concise format like:

Merchant: Walmart
Date: 2023-06-09
Total: 76.37
Tax: 8.18
Items:
- BEDDING — 39.97
- STEAMER — 27.97

CSV

When the user asks for CSV, output line-item rows with these columns when available:

  • source_file (bulk mode)
  • merchant
  • date
  • description
  • quantity
  • total_price
  • item_tax
  • sku
  • receipt_tax
  • receipt_total
  • saved_receipt_id
  • http_status (bulk mode)
  • success (bulk mode)
  • error (bulk mode)

Error handling

Interpret common failures like this:

  • 400 — invalid input, missing file, unsupported type, or file too large
  • 401 — missing/invalid token
  • 402 — insufficient credits
  • 429 — rate limited; retry with backoff
  • 500 — server error; safe to retry carefully

If the response is malformed or success is false:

  • show the error plainly
  • do not invent extracted data
  • mention likely causes if obvious (bad token, no credits, unsupported file)

Practical notes

  • Treat the API result as the source of truth, but sanity-check obvious issues.
  • Flag suspicious output instead of silently "fixing" it.

- Example: Canadian receipt with tax currency labeled USD.

  • correctnessCheck: true is a useful confidence signal, not a guarantee.
  • Preserve the original file path and savedReceiptId when useful for traceability.
  • In bulk mode, keep one request per file and preserve each source file path for traceability.

Security

  • Keep the token out of chat replies.
  • Prefer environment variables or secret managers over embedding tokens in scripts.
  • Do not commit tokens, raw headers, or secret-bearing examples into git.

Resources

  • Helper script: scripts/extract_receipt.py
  • API reference notes: references/api.md

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

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能力 3

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能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

75.9%
按下载量换算799

安全审计

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通过

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通过

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权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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来源信息

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