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Bohrium PDF Parser

该 Skill 通过 Bohrium 的 HTTP 解析接口提交 PDF 链接或本地上传文件,返回任务 token 后轮询获取结果;可按需提取文本、表格、图表、公式和分子结构,并支持分页与同步/异步模式。需要 ACCESS_KEY 鉴权,不提供命令行工具。

sorrymaker0624
sorrymaker0624
热度 24.85
最近更新 2026-05-22 13:03:43
分类:效率依赖:第三方 API / 代码执行 / 读写文件应用场景:数据处理 / 文件转换

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add bohrium-pdf-parser
Metadata
name
bohrium-pdf-parser
description
Parse PDF documents via open.bohrium.com. Use when: user asks about extracting text, tables, charts, formulas, or molecules from PDF files on Bohrium, submitting PDFs by URL or file upload. NOT for: file management, dataset management, or knowledge base operations.

SKILL: Bohrium PDF Parser

Overview

Parse PDF documents using the open.bohrium.com PDF parsing service. Extract text, tables, charts, formulas, and molecular structures from PDFs. Two submission methods:

  • URL submission — provide a PDF download link (e.g. arXiv link)
  • File upload — upload a local PDF file

No CLI support — all operations use the HTTP API.

Authentication

ACCESS_KEY is read from the OpenClaw config ~/.openclaw/openclaw.json:

"bohrium-pdf-parser": {
  "enabled": true,
  "apiKey": "YOUR_ACCESS_KEY",
  "env": {
    "ACCESS_KEY": "YOUR_ACCESS_KEY"
  }
}

OpenClaw automatically injects env.ACCESS_KEY into the runtime.

Common Code Template

import os, time, requests

AK = os.environ.get("ACCESS_KEY", "")
BASE = "https://open.bohrium.com/openapi/v1/parse"
HEADERS = {"accessKey": AK}
HEADERS_JSON = {**HEADERS, "Content-Type": "application/json"}

Parsing Workflow

1. Submit PDF (URL or file upload) → get token
2. Poll result with token → complete when status == "success"

Synchronous mode (sync=true) blocks until parsing completes but does not include content in the response — you still need get-result to retrieve it. Asynchronous mode (sync=false, default) requires polling get-result until status is success.


URL Submission

r = requests.post(f"{BASE}/trigger-url-async", headers=HEADERS_JSON, json={
    "url": "https://arxiv.org/pdf/2107.06922",
    "sync": False,
    "textual": True,
    "table": True,
    "molecule": True,
    "chart": True,
    "figure": False,
    "expression": True,
    "equation": True,
    "pages": [0],           # 0-indexed, omit to parse all pages
    "timeout": 1800
})
data = r.json()
token = data["token"]
print(f"Token: {token}, Status: {data['status']}")
# Token: 57d12c5a-..., Status: undefined

Response Fields:

Field Description
token Task identifier for querying results
status Initial status is undefined
created_time Creation time
time_dict Per-stage timing (only download_pdf at this point)

File Upload

from pathlib import Path

pdf_path = Path("./paper.pdf")
with open(pdf_path, "rb") as f:
    r = requests.post(f"{BASE}/trigger-file-async",
        headers=HEADERS,       # No Content-Type; requests handles multipart automatically
        files={"file": (pdf_path.name, f, "application/pdf")},
        data={
            "sync": "false",
            "textual": "true",
            "table": "true",
            "molecule": "true",
            "chart": "true",
            "figure": "false",
            "expression": "true",
            "equation": "true",
            "pages": 0,         # multipart only accepts a single integer
            "timeout": 1800
        })
token = r.json()["token"]

Important: pages in multipart/form-data only accepts a single integer (e.g. 0), not a JSON array [0], or you'll get an int_parsing error. In JSON request bodies, arrays like [0, 1, 2] are supported.


Query Parse Result

r = requests.post(f"{BASE}/get-result", headers=HEADERS_JSON, json={
    "token": token,
    "content": True,        # Return extracted text
    "objects": False,        # Return extracted objects (tables, figures, etc.)
    "pages_dict": True       # Return per-page results
})
data = r.json()
print(f"Status: {data['status']}, Content length: {len(data.get('content', ''))}")

Response Fields:

Field Description
status success / undefined (processing) / failed
token Task identifier
content Extracted text (LaTeX markup format)
pages_dict Per-page result dictionary
lang Detected language (en / zh etc.)
proc_page / total_page Processed / total pages
proc_textual / total_textual Processed / total text blocks
proc_table / total_table Processed / total tables
proc_mol / total_mol Processed / total molecules
proc_equa / total_equa Processed / total equations
time_dict Per-stage timing details
cost Cost

Full Async Polling Example

import os, time, requests

AK = os.environ.get("ACCESS_KEY", "")
BASE = "https://open.bohrium.com/openapi/v1/parse"
HEADERS = {"accessKey": AK}
HEADERS_JSON = {**HEADERS, "Content-Type": "application/json"}

# 1. Submit
r = requests.post(f"{BASE}/trigger-url-async", headers=HEADERS_JSON, json={
    "url": "https://arxiv.org/pdf/2107.06922",
    "sync": False,
    "textual": True, "table": True, "molecule": False,
    "chart": False, "figure": False,
    "expression": True, "equation": True,
    "pages": [0],
    "timeout": 1800
})
submit = r.json()
if submit.get("code"):
    print(f"Submit failed: {submit.get('message')}")
    exit(1)

token = submit["token"]
print(f"Submitted, token={token}")

# 2. Poll for result
for attempt in range(30):
    time.sleep(2)
    r = requests.post(f"{BASE}/get-result", headers=HEADERS_JSON, json={
        "token": token,
        "content": True,
        "objects": False,
        "pages_dict": False
    })
    result = r.json()
    status = result.get("status", "")
    print(f"  [{attempt+1}] status={status}")

    if status == "success":
        print(f"Done! Content length: {len(result.get('content', ''))}")
        print(f"Language: {result.get('lang')}, Cost: {result.get('cost')}")
        print(f"Preview: {result.get('content', '')[:200]}")
        break
    elif status == "failed":
        print(f"Failed: {result.get('description', 'unknown error')}")
        break
else:
    print("Timeout: task did not complete within 60 seconds")

Synchronous Mode Example

Synchronous mode (sync=true) blocks until parsing completes, so no polling is needed. However, the response does not include the content field — you still need to call get-result to retrieve the parsed content:

# 1. Synchronous submit — blocks until parsing completes
r = requests.post(f"{BASE}/trigger-url-async", headers=HEADERS_JSON, json={
    "url": "https://arxiv.org/pdf/2107.06922",
    "sync": True,           # Wait for completion
    "textual": True, "table": True,
    "molecule": False, "chart": False, "figure": False,
    "expression": True, "equation": True,
    "pages": [0],
    "timeout": 1800
})
submit = r.json()
token = submit["token"]
# submit["status"] == "success", but no content field

# 2. Retrieve content
r = requests.post(f"{BASE}/get-result", headers=HEADERS_JSON, json={
    "token": token,
    "content": True, "objects": False, "pages_dict": False
})
result = r.json()
print(f"Content: {result['content'][:200]}")

Parse Options Reference

Parameter Type Default Description
sync bool false true blocks until complete (still need get-result for content), false requires polling
textual bool - Extract text content
table bool - Extract tables
molecule bool - Extract molecular structures
chart bool - Extract charts
figure bool - Extract figures/images
expression bool - Extract math expressions
equation bool - Extract equations
pages list[int] all Pages to parse (0-indexed)
timeout int - Timeout in seconds

curl Examples

AK="YOUR_ACCESS_KEY"
BASE="https://open.bohrium.com/openapi/v1/parse"

# URL submission
curl -s -X POST "$BASE/trigger-url-async" \
  -H "Content-Type: application/json" \
  -H "accessKey: $AK" \
  -d '{"url":"https://arxiv.org/pdf/2107.06922","sync":false,"textual":true,"table":true,"molecule":false,"chart":false,"figure":false,"expression":true,"equation":true,"pages":[0],"timeout":1800}'

# File upload
curl -s -X POST "$BASE/trigger-file-async" \
  -H "accessKey: $AK" \
  -F "file=@paper.pdf" \
  -F "sync=false" -F "textual=true" -F "table=true" \
  -F "pages=0"

# Query result
curl -s -X POST "$BASE/get-result" \
  -H "Content-Type: application/json" \
  -H "accessKey: $AK" \
  -d '{"token":"YOUR_TOKEN","content":true,"objects":false,"pages_dict":true}'

Troubleshooting

Problem Cause Solution
AccessKey is required Missing or incorrect accessKey Header name is accessKey (case-sensitive), not Authorization: Bearer
int_parsing error pages sent as JSON array in file upload Use a single integer for pages in multipart form
status: undefined Async task not yet complete Poll get-result again; recommended interval: 2 seconds
Connection timeout Domain/network issue Use open.bohrium.com; test connectivity via curl -I https://open.bohrium.com/openapi
Content has LaTeX markup Normal behavior Results use \begin{title} etc. to mark structure; post-process to extract plain text
Large file parses slowly Many pages or complex content Use pages parameter to limit scope