CV Parser Español
cv_parser_espanol es un paquete de python que te permite leer un CV en los siguientes formatos (PDF, DOCX, TXT) y desglosarlo en diferentes secciones:
- Nombre
- Direccion
- Telefono
- Educacion
- Experiencia Laboral
- Skills
Instalacion
Puedes instalarlo utilizando pip
pip install cv-parser-espanol
Modo de uso
Si tienes que convertir un pdf puedes primero utilizar el extractor de pdf a texto (pasando el archivo como bytes)
import parser
text= pdf_to_text(file_bytes)
cv = parse_cv(text)
Si el archivo que tienes es un docx o un pdf pero no tienes los bytes puedes utilizar directamete la funcion extract_text
Metadata
Release files for cv-parser-espanol 0.2.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cv_parser_espanol-0.2.3.tar.gz | 1.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cv_parser_espanol-0.2.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.9 kB
Release files / cv_parser_espanol-0.2.3.tar.gz
| Download URL | cv_parser_espanol-0.2.3.tar.gz |
|---|---|
| Size | 1.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c099f5de82a895e2e28f324c1142065a18bda13ded62d4af0c077b15b1643e07
|
|
BLAKE2b-256 checksum How to use checksums |
64808d036c671b0c4f4b62eea036d6ddfd9a0b0a7edfa8e35c1f6dfb3e506bae
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.11
|
Release files / cv_parser_espanol-0.2.3-py3-none-any.whl
| Download URL | cv_parser_espanol-0.2.3-py3-none-any.whl |
|---|---|
| Size | 1.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
fac5f5a38c02623c5eaac50fccdbc7a3a5602ea796af4ef59b0da90bccc09092
|
|
BLAKE2b-256 checksum How to use checksums |
7f6b5517d79415acdab71ceb7d9c7984358ec22772d61bc087fc27e1809f3121
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.11
|