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:

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#

python

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#

text

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#

python

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:

FieldDescriptiontokenTask identifier for querying resultsstatusInitial status is undefined``created_timeCreation timetime_dictPer-stage timing (only download_pdf at this point)

---

File Upload#

python

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#

python

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:

FieldDescriptionstatus``success / undefined (processing) / failed``tokenTask identifiercontentExtracted text (LaTeX markup format)pages_dictPer-page result dictionarylangDetected language ( en / zh etc.)proc_page / total_pageProcessed / total pagesproc_textual / total_textualProcessed / total text blocksproc_table / total_tableProcessed / total tablesproc_mol / total_molProcessed / total moleculesproc_equa / total_equaProcessed / total equationstime_dictPer-stage timing detailscostCost

---

Full Async Polling Example#

python

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:

python

# 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#

ParameterTypeDefaultDescriptionsyncboolfalse``true blocks until complete (still need get-result for content), false requires pollingtextualbool-Extract text contenttablebool-Extract tablesmoleculebool-Extract molecular structureschartbool-Extract chartsfigurebool-Extract figures/imagesexpressionbool-Extract math expressionsequationbool-Extract equationspageslist[int]allPages to parse (0-indexed)timeoutint-Timeout in seconds

---

curl Examples#

bash

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#

ProblemCauseSolutionAccessKey is requiredMissing or incorrect accessKeyHeader name is accessKey (case-sensitive), not Authorization: Bearer``int_parsing errorpages sent as JSON array in file uploadUse a single integer for pages in multipart formstatus: undefinedAsync task not yet completePoll get-result again; recommended interval: 2 secondsConnection timeoutDomain/network issueUse open.bohrium.com; test connectivity via curl -I https://open.bohrium.com/openapiContent has LaTeX markupNormal behaviorResults use \begin{title} etc. to mark structure; post-process to extract plain textLarge file parses slowlyMany pages or complex contentUse pages parameter to limit scope