After executing the mineru command, in addition to the main markdown file output, multiple auxiliary files are generated for debugging, quality inspection, and further processing. These files include:
The following sections provide detailed descriptions of each file's purpose and format.
File naming format: {original_filename}_layout.pdf
Functionality:
Use cases:
[!NOTE] Only applicable to pipeline backend
File naming format: {original_filename}_spans.pdf
Functionality:
Use cases:
[!IMPORTANT] The VLM backend output has significant changes in version 2.5 and is not backward-compatible with the pipeline backend. If you plan to build secondary development on structured outputs, please read this document carefully.
File naming format: {original_filename}_model.json
from pydantic import BaseModel, Field
from enum import IntEnum
class CategoryType(IntEnum):
"""Content category enumeration"""
title = 0 # Title
plain_text = 1 # Text
abandon = 2 # Including headers, footers, page numbers, and page annotations
figure = 3 # Image
figure_caption = 4 # Image caption
table = 5 # Table
table_caption = 6 # Table caption
table_footnote = 7 # Table footnote
isolate_formula = 8 # Interline formula
formula_caption = 9 # Interline formula number
embedding = 13 # Inline formula
isolated = 14 # Interline formula
text = 15 # OCR recognition result
class PageInfo(BaseModel):
"""Page information"""
page_no: int = Field(description="Page number, first page is 0", ge=0)
height: int = Field(description="Page height", gt=0)
width: int = Field(description="Page width", ge=0)
class ObjectInferenceResult(BaseModel):
"""Object recognition result"""
category_id: CategoryType = Field(description="Category", ge=0)
poly: list[float] = Field(description="Quadrilateral coordinates, format: [x0,y0,x1,y1,x2,y2,x3,y3]")
score: float = Field(description="Confidence score of inference result")
latex: str | None = Field(description="LaTeX parsing result", default=None)
html: str | None = Field(description="HTML parsing result", default=None)
class PageInferenceResults(BaseModel):
"""Page inference results"""
layout_dets: list[ObjectInferenceResult] = Field(description="Page recognition results")
page_info: PageInfo = Field(description="Page metadata")
# Complete inference results
inference_result: list[PageInferenceResults] = []
poly coordinate format: [x0, y0, x1, y1, x2, y2, x3, y3]
[
{
"layout_dets": [
{
"category_id": 2,
"poly": [
99.1906967163086,
100.3119125366211,
730.3707885742188,
100.3119125366211,
730.3707885742188,
245.81326293945312,
99.1906967163086,
245.81326293945312
],
"score": 0.9999997615814209
}
],
"page_info": {
"page_no": 0,
"height": 2339,
"width": 1654
}
},
{
"layout_dets": [
{
"category_id": 5,
"poly": [
99.13092803955078,
2210.680419921875,
497.3183898925781,
2210.680419921875,
497.3183898925781,
2264.78076171875,
99.13092803955078,
2264.78076171875
],
"score": 0.9999997019767761
}
],
"page_info": {
"page_no": 1,
"height": 2339,
"width": 1654
}
}
]
File naming format: {original_filename}_middle.json
| Field Name | Type | Description |
|---|---|---|
pdf_info |
list[dict] |
Array of parsing results for each page |
_backend |
string |
Parsing mode: pipeline or vlm |
_version_name |
string |
MinerU version number |
| Field Name | Description |
|---|---|
preproc_blocks |
Unsegmented intermediate results after PDF preprocessing |
page_idx |
Page number, starting from 0 |
page_size |
Page width and height [width, height] |
images |
Image block information list |
tables |
Table block information list |
interline_equations |
Interline formula block information list |
discarded_blocks |
Block information to be discarded |
para_blocks |
Content block results after segmentation |
Level 1 blocks (table | image)
└── Level 2 blocks
└── Lines
└── Spans
| Field Name | Description |
|---|---|
type |
Block type: table or image |
bbox |
Rectangular box coordinates of the block [x0, y0, x1, y1] |
blocks |
List of contained level 2 blocks |
| Field Name | Description |
|---|---|
type |
Block type (see table below) |
bbox |
Rectangular box coordinates of the block |
lines |
List of contained line information |
| Type | Description |
|---|---|
image_body |
Image body |
image_caption |
Image caption text |
image_footnote |
Image footnote |
table_body |
Table body |
table_caption |
Table caption text |
table_footnote |
Table footnote |
text |
Text block |
title |
Title block |
index |
Index block |
list |
List block |
interline_equation |
Interline formula block |
Line fields:
bbox: Rectangular box coordinates of the linespans: List of contained spansSpan fields:
bbox: Rectangular box coordinates of the spantype: Span type (image, table, text, inline_equation, interline_equation)content | img_path: Text content or image path{
"pdf_info": [
{
"preproc_blocks": [
{
"type": "text",
"bbox": [
52,
61.956024169921875,
294,
82.99800872802734
],
"lines": [
{
"bbox": [
52,
61.956024169921875,
294,
72.0000228881836
],
"spans": [
{
"bbox": [
54.0,
61.956024169921875,
296.2261657714844,
72.0000228881836
],
"content": "dependent on the service headway and the reliability of the departure ",
"type": "text",
"score": 1.0
}
]
}
]
}
],
"layout_bboxes": [
{
"layout_bbox": [
52,
61,
294,
731
],
"layout_label": "V",
"sub_layout": []
}
],
"page_idx": 0,
"page_size": [
612.0,
792.0
],
"_layout_tree": [],
"images": [],
"tables": [],
"interline_equations": [],
"discarded_blocks": [],
"para_blocks": [
{
"type": "text",
"bbox": [
52,
61.956024169921875,
294,
82.99800872802734
],
"lines": [
{
"bbox": [
52,
61.956024169921875,
294,
72.0000228881836
],
"spans": [
{
"bbox": [
54.0,
61.956024169921875,
296.2261657714844,
72.0000228881836
],
"content": "dependent on the service headway and the reliability of the departure ",
"type": "text",
"score": 1.0
}
]
}
]
}
]
}
],
"_backend": "pipeline",
"_version_name": "0.6.1"
}
File naming format: {original_filename}_content_list.json
This is a simplified version of middle.json that stores all readable content blocks in reading order as a flat structure, removing complex layout information for easier subsequent processing.
| Type | Description |
|---|---|
image |
Image |
table |
Table |
text |
Text/Title |
equation |
Interline formula |
Text levels are distinguished through the text_level field:
text_level or text_level: 0: Body texttext_level: 1: Level 1 headingtext_level: 2: Level 2 headingpage_idx field indicating the page number (starting from 0).bbox field representing the bounding box coordinates of the content block [x0, y0, x1, y1], mapped to a range of 0-1000.[
{
"type": "text",
"text": "The response of flow duration curves to afforestation ",
"text_level": 1,
"bbox": [
62,
480,
946,
904
],
"page_idx": 0
},
{
"type": "image",
"img_path": "images/a8ecda1c69b27e4f79fce1589175a9d721cbdc1cf78b4cc06a015f3746f6b9d8.jpg",
"img_caption": [
"Fig. 1. Annual flow duration curves of daily flows from Pine Creek, Australia, 1989–2000. "
],
"img_footnote": [],
"bbox": [
62,
480,
946,
904
],
"page_idx": 1
},
{
"type": "equation",
"img_path": "images/181ea56ef185060d04bf4e274685f3e072e922e7b839f093d482c29bf89b71e8.jpg",
"text": "$$\nQ _ { \\% } = f ( P ) + g ( T )\n$$",
"text_format": "latex",
"bbox": [
62,
480,
946,
904
],
"page_idx": 2
},
{
"type": "table",
"img_path": "images/e3cb413394a475e555807ffdad913435940ec637873d673ee1b039e3bc3496d0.jpg",
"table_caption": [
"Table 2 Significance of the rainfall and time terms "
],
"table_footnote": [
"indicates that the rainfall term was significant at the $5 \\%$ level, $T$ indicates that the time term was significant at the $5 \\%$ level, \\* represents significance at the $10 \\%$ level, and na denotes too few data points for meaningful analysis. "
],
"table_body": "<html><body><table><tr><td rowspan=\"2\">Site</td><td colspan=\"10\">Percentile</td></tr><tr><td>10</td><td>20</td><td>30</td><td>40</td><td>50</td><td>60</td><td>70</td><td>80</td><td>90</td><td>100</td></tr><tr><td>Traralgon Ck</td><td>P</td><td>P,*</td><td>P</td><td>P</td><td>P,</td><td>P,</td><td>P,</td><td>P,</td><td>P</td><td>P</td></tr><tr><td>Redhill</td><td>P,T</td><td>P,T</td><td>,*</td><td>**</td><td>P.T</td><td>P,*</td><td>P*</td><td>P*</td><td>*</td><td>,*</td></tr><tr><td>Pine Ck</td><td></td><td>P,T</td><td>P,T</td><td>P,T</td><td>P,T</td><td>T</td><td>T</td><td>T</td><td>na</td><td>na</td></tr><tr><td>Stewarts Ck 5</td><td>P,T</td><td>P,T</td><td>P,T</td><td>P,T</td><td>P.T</td><td>P.T</td><td>P,T</td><td>na</td><td>na</td><td>na</td></tr><tr><td>Glendhu 2</td><td>P</td><td>P,T</td><td>P,*</td><td>P,T</td><td>P.T</td><td>P,ns</td><td>P,T</td><td>P,T</td><td>P,T</td><td>P,T</td></tr><tr><td>Cathedral Peak 2</td><td>P,T</td><td>P,T</td><td>P,T</td><td>P,T</td><td>P,T</td><td>*,T</td><td>P,T</td><td>P,T</td><td>P,T</td><td>T</td></tr><tr><td>Cathedral Peak 3</td><td>P.T</td><td>P.T</td><td>P,T</td><td>P,T</td><td>P,T</td><td>T</td><td>P,T</td><td>P,T</td><td>P,T</td><td>T</td></tr><tr><td>Lambrechtsbos A</td><td>P,T</td><td>P</td><td>P</td><td>P,T</td><td>*,T</td><td>*,T</td><td>*,T</td><td>*,T</td><td>*,T</td><td>T</td></tr><tr><td>Lambrechtsbos B</td><td>P,T</td><td>P,T</td><td>P,T</td><td>P,T</td><td>P,T</td><td>P,T</td><td>P,T</td><td>P,T</td><td>T</td><td>T</td></tr><tr><td>Biesievlei</td><td>P,T</td><td>P.T</td><td>P,T</td><td>P,T</td><td>*,T</td><td>*,T</td><td>T</td><td>T</td><td>P,T</td><td>P,T</td></tr></table></body></html>",
"bbox": [
62,
480,
946,
904
],
"page_idx": 5
}
]
File naming format: {original_filename}_model.json
type, bbox, angle, content (some types add extra fields like score, block_tags, content_tags, format){
"text": "Plain text",
"title": "Title",
"equation": "Display (interline) formula",
"image": "Image",
"image_caption": "Image caption",
"image_footnote": "Image footnote",
"table": "Table",
"table_caption": "Table caption",
"table_footnote": "Table footnote",
"phonetic": "Phonetic annotation",
"code": "Code block",
"code_caption": "Code caption",
"ref_text": "Reference / citation entry",
"algorithm": "Algorithm block (treated as code subtype)",
"list": "List container",
"header": "Page header",
"footer": "Page footer",
"page_number": "Page number",
"aside_text": "Side / margin note",
"page_footnote": "Page footnote"
}
bbox = [x0, y0, x1, y1] (top-left, bottom-right)[0,1][
[
{
"type": "header",
"bbox": [0.077, 0.095, 0.18, 0.181],
"angle": 0,
"score": null,
"block_tags": null,
"content": "ELSEVIER",
"format": null,
"content_tags": null
},
{
"type": "title",
"bbox": [0.157, 0.228, 0.833, 0.253],
"angle": 0,
"score": null,
"block_tags": null,
"content": "The response of flow duration curves to afforestation",
"format": null,
"content_tags": null
}
]
]
File naming format: {original_filename}_middle.json
Structure is broadly similar to the pipeline backend, but with these differences:
list becomes a second‑level block, a new field sub_type distinguishes list categories:
text: ordinary listref_text: reference / bibliography style listcode block type with sub_type:
codealgorithmcode_body, it may optionally have a code_caption.discarded_blocks may contain additional types:
headerfooterpage_numberaside_textpage_footnoteangle field indicating rotation (one of 0, 90, 180, 270).Example: list block
{
"bbox": [174,155,818,333],
"type": "list",
"angle": 0,
"index": 11,
"blocks": [
{
"bbox": [174,157,311,175],
"type": "text",
"angle": 0,
"lines": [
{
"bbox": [174,157,311,175],
"spans": [
{
"bbox": [174,157,311,175],
"type": "text",
"content": "H.1 Introduction"
}
]
}
],
"index": 3
},
{
"bbox": [175,182,464,229],
"type": "text",
"angle": 0,
"lines": [
{
"bbox": [175,182,464,229],
"spans": [
{
"bbox": [175,182,464,229],
"type": "text",
"content": "H.2 Example: Divide by Zero without Exception Handling"
}
]
}
],
"index": 4
}
],
"sub_type": "text"
}
Example: code block with optional caption:
{
"type": "code",
"bbox": [114,780,885,1231],
"blocks": [
{
"bbox": [114,780,885,1231],
"lines": [
{
"bbox": [114,780,885,1231],
"spans": [
{
"bbox": [114,780,885,1231],
"type": "text",
"content": "1 // Fig. H.1: DivideByZeroNoExceptionHandling.java \n2 // Integer division without exception handling. \n3 import java.util.Scanner; \n4 \n5 public class DivideByZeroNoExceptionHandling \n6 { \n7 // demonstrates throwing an exception when a divide-by-zero occurs \n8 public static int quotient( int numerator, int denominator ) \n9 { \n10 return numerator / denominator; // possible division by zero \n11 } // end method quotient \n12 \n13 public static void main(String[] args) \n14 { \n15 Scanner scanner = new Scanner(System.in); // scanner for input \n16 \n17 System.out.print(\"Please enter an integer numerator: \"); \n18 int numerator = scanner.nextInt(); \n19 System.out.print(\"Please enter an integer denominator: \"); \n20 int denominator = scanner.nextInt(); \n21"
}
]
}
],
"index": 17,
"angle": 0,
"type": "code_body"
},
{
"bbox": [867,160,1280,189],
"lines": [
{
"bbox": [867,160,1280,189],
"spans": [
{
"bbox": [867,160,1280,189],
"type": "text",
"content": "Algorithm 1 Modules for MCTSteg"
}
]
}
],
"index": 19,
"angle": 0,
"type": "code_caption"
}
],
"index": 17,
"sub_type": "code"
}
File naming format: {original_filename}_content_list.json
Based on the pipeline format, with these VLM-specific extensions:
code type with sub_type (code | algorithm):
code_body (string), optional code_caption (list of strings)list type with sub_type (text | ref_text):
list_items (array of strings)discarded_blocks entries are also output (e.g., headers, footers, page numbers, margin notes, page footnotes).image, table, text, equation) remain unchanged.bbox still uses the 0–1000 normalized coordinate mapping.Example: code (algorithm) entry
{
"type": "code",
"sub_type": "algorithm",
"code_caption": ["Algorithm 1 Modules for MCTSteg"],
"code_body": "1: function GETCOORDINATE(d) \n2: $x \\gets d / l$ , $y \\gets d$ mod $l$ \n3: return $(x, y)$ \n4: end function \n5: function BESTCHILD(v) \n6: $C \\gets$ child set of $v$ \n7: $v' \\gets \\arg \\max_{c \\in C} \\mathrm{UCTScore}(c)$ \n8: $v'.n \\gets v'.n + 1$ \n9: return $v'$ \n10: end function \n11: function BACK PROPAGATE(v) \n12: Calculate $R$ using Equation 11 \n13: while $v$ is not a root node do \n14: $v.r \\gets v.r + R$ , $v \\gets v.p$ \n15: end while \n16: end function \n17: function RANDOMSEARCH(v) \n18: while $v$ is not a leaf node do \n19: Randomly select an untried action $a \\in A(v)$ \n20: Create a new node $v'$ \n21: $(x, y) \\gets \\mathrm{GETCOORDINATE}(v'.d)$ \n22: $v'.p \\gets v$ , $v'.d \\gets v.d + 1$ , $v'.\\Gamma \\gets v.\\Gamma$ \n23: $v'.\\gamma_{x,y} \\gets a$ \n24: if $a = -1$ then \n25: $v.lc \\gets v'$ \n26: else if $a = 0$ then \n27: $v.mc \\gets v'$ \n28: else \n29: $v.rc \\gets v'$ \n30: end if \n31: $v \\gets v'$ \n32: end while \n33: return $v$ \n34: end function \n35: function SEARCH(v) \n36: while $v$ is fully expanded do \n37: $v \\gets$ BESTCHILD(v) \n38: end while \n39: if $v$ is not a leaf node then \n40: $v \\gets$ RANDOMSEARCH(v) \n41: end if \n42: return $v$ \n43: end function",
"bbox": [510,87,881,740],
"page_idx": 0
}
Example: list (text) entry
{
"type": "list",
"sub_type": "text",
"list_items": [
"H.1 Introduction",
"H.2 Example: Divide by Zero without Exception Handling",
"H.3 Example: Divide by Zero with Exception Handling",
"H.4 Summary"
],
"bbox": [174,155,818,333],
"page_idx": 0
}
Example: discarded blocks output
[
{
"type": "header",
"text": "Journal of Hydrology 310 (2005) 253-265",
"bbox": [363,164,623,177],
"page_idx": 0
},
{
"type": "page_footnote",
"text": "* Corresponding author. Address: Forest Science Centre, Department of Sustainability and Environment, P.O. Box 137, Heidelberg, Vic. 3084, Australia. Tel.: +61 3 9450 8719; fax: +61 3 9450 8644.",
"bbox": [71,815,915,841],
"page_idx": 0
}
]
The above files constitute MinerU's complete output results. Users can choose appropriate files for subsequent processing based on their needs: