Extract text from NLP vocabulary files (VOCAB)
To convert VOCAB vocabulary files to another format, you need SentencePiece or other Developer software.
To convert other file formats to the "Machine Learning Vocabulary List" file type, you need software like SentencePiece or a similar tool.
A .VOCAB file stores the vocabulary list or tokenizer data used by Natural Language Processing (NLP) models. Commonly generated by machine learning libraries like TensorFlow, SentencePiece, or fastText, these files map text tokens (words, sub-words, or characters) to numerical IDs. They often include word frequency scores to help the AI model weigh token importance during training or inference.
The Problem: The format lacks standardisation and is highly fragmented. Some .VOCAB files are simple tab-separated text documents, while others are serialized binary objects created by Python (similar to PKL files). Serialized versions are completely unreadable outside of the specific coding environment that created them. Furthermore, even plain text versions are difficult to analyze, filter, or merge using standard office software. This makes debugging tokenization issues or manually inspecting a model's vocabulary a frustrating task for developers and data scientists.
The Solution: Converting the file unlocks the data for inspection and sharing. For data analysis and filtering, convert .VOCAB to CSV to open it seamlessly in spreadsheet tools. For web integration and API usage, convert to JSON. For basic viewing, extract the raw tokens to TXT.
Convert.Guru analyzes your VOCAB file, detects the exact format, and lets you read the text inside.
Users also converted PB, TFR and LABELS files.
If you want to convert VOCAB file to CSV, JSON, XML, YAML, YML, TOML, INI, CFG, CONF, DAT, DB or SQL, you can use SentencePiece or similar software from the "NLP Tokenizer Vocabulary Storage" category. In the File menu, look for Save As… or Export….
To convert DBF, XML, SQLITE, XLSX, SQL, TSV, ACCDB, YAML, MDB, CSV, ODS or JSON files to VOCAB, try SentencePiece or another comparable tool in the "NLP Tokenizer Vocabulary Storage" category.
The history of Convert.Guru began over 25 years ago in California with Tom Simondi’s file-format database. A former contributor to Space Shuttle development and a software pioneer of the 1980s, Simondi established a trusted resource for file type analysis that was even referenced by Microsoft Windows XP. Today, we use modern technology to process and convert thousands of file formats while continually improving our VOCAB converter.