Converters

All registered Converter components in DashAI.

Name	Description
AdditiveChi2Sampler	Approximate the additive chi-squared kernel using Fourier sampling.
AllMiniLML6V2Embedding	Fast English sentence embeddings (all-MiniLM-L6-v2).
AllMpnetBaseV2Embedding	Higher quality English sentence embeddings (all-mpnet-base-v2).
BagOfWordsConverter	Convert raw text documents into a matrix of token occurrence counts.
Binarizer	Threshold each feature to produce binary (0/1) values.
CharacterReplacer	Replace or remove a character or substring in all selected text columns.
Clustering	Apply a clustering algorithm to numeric columns and append a cluster label.
ColumnArithmetic	Combine the selected columns into a new numeric column.
ColumnConcat	Concatenate the selected string columns into a new column.
ColumnRemover	Remove the columns selected in scope from the dataset.
DateFeaturesConverter	Break a Date column into the calendar numbers hidden inside it.
DocumentItemFilter	Drop the selected document items that a rule picks.
FastICA	Decompose features into statistically independent components using FastICA.
GenericUnivariateSelect	Select features using a configurable univariate statistical test and mode.
HarrierOSS06BEmbedding	Multilingual retrieval embeddings (harrier-oss-v1-0.
HarrierOSS270MEmbedding	Multilingual retrieval embeddings, small (harrier-oss-v1-270m).
ImageCaptioningConverter	Describe each Image item in English with BLIP.
ImageEmbeddingConverter	HuggingFace image embedding converter.
IncrementalPCA	Reduce dimensionality using PCA computed incrementally over mini-batches.
InstructorLargeEmbedding	INSTRUCTOR large.
KNNImputer	Fill missing values by averaging over the K nearest complete neighbours.
LaBSEEmbedding	Language agnostic sentence embeddings for 109 languages (LaBSE).
LabelEncoder	Encode categorical labels as contiguous integer codes in [0, n_classes - 1].
LanguageFilter	Drop the selected Text items written in other languages.
MaxAbsScaler	Scale each feature by its maximum absolute value to the range [-1, 1].
MinMaxScaler	Scale each feature to a fixed range, by default [0, 1].
MissingIndicator	Add binary indicator columns that flag which values were originally missing.
MultiQAMiniLML6CosV1Embedding	English question to passage retrieval, small (multi-qa-MiniLM-L6-cos-v1).
MultiQAMpnetBaseCosV1Embedding	English question to passage retrieval (multi-qa-mpnet-base-cos-v1).
MultilingualE5BaseEmbedding	Multilingual E5, base.
MultilingualE5LargeEmbedding	Multilingual E5, large.
MultilingualE5SmallEmbedding	Multilingual E5, small.
NanRemover	Remove rows that contain NaN (or null-like) values in the scoped columns.
Normalizer	Normalize each sample (row) independently to unit norm.
NumericExpansion	Derive a new numeric feature from each selected column via a unary function.
Nystroem	Approximate a kernel feature map using the Nystroem method.
OCRConverter	Read the text in Image items with GOT-OCR 2.
OneHotEncoder	Encode categorical columns as binary indicator (one hot) vectors.
OpusMtDeEnTranslator	German to English (Helsinki-NLP/opus-mt-de-en).
OpusMtEnDeTranslator	English to German (Helsinki-NLP/opus-mt-en-de).
OpusMtEnEsTranslator	English to Spanish (Helsinki-NLP/opus-mt-en-es).
OpusMtEnFrTranslator	English to French (Helsinki-NLP/opus-mt-en-fr).
OpusMtEnRoaTranslator	English to a Romance language (Helsinki-NLP/opus-mt-en-roa).
OpusMtEnZhTranslator	English to Chinese (Helsinki-NLP/opus-mt-en-zh).
OpusMtEsEnTranslator	Spanish to English (Helsinki-NLP/opus-mt-es-en).
OpusMtFrEnTranslator	French to English (Helsinki-NLP/opus-mt-fr-en).
OpusMtRoaEnTranslator	Romance languages to English (Helsinki-NLP/opus-mt-roa-en).
OpusMtZhEnTranslator	Chinese to English (Helsinki-NLP/opus-mt-zh-en).
OrdinalEncoder	Encode categorical feature columns as integer ordinal codes.
PCA	Reduce dimensionality using Principal Component Analysis (PCA).
ParaphraseMultilingualMiniLML12V2Embedding	Multilingual sentence embeddings, small.
ParaphraseMultilingualMpnetBaseV2Embedding	Multilingual sentence embeddings, larger.
PolynomialFeatures	Generate polynomial and interaction features up to a specified degree.
Qwen3Embedding06B	Recent multilingual retrieval embeddings (Qwen3-Embedding-0.
RBFSampler	Approximate the RBF (Gaussian) kernel feature map via random Fourier features.
RandomUnderSamplerConverter	Balance class distribution by randomly discarding majority-class samples.
RegexReplacer	Replace every match of a regular expression in text values.
SAM3SegmentConverter	Detect a prompted object in every image and append ranked columns.
SMOTEConverter	Balances class distribution by generating synthetic minority-class samples.
SMOTEENNConverter	Hybrid sampler combining SMOTE oversampling with Edited Nearest Neighbours cleaning.
SelectFdr	Select features by controlling the expected False Discovery Rate (FDR).
SelectFpr	Select features whose p-value is below a False Positive Rate threshold.
SelectFwe	Select features while controlling the Family-Wise Error Rate (FWE).
SelectKBest	Select the K highest-scoring features using a univariate statistical test.
SelectPercentile	Select the top percentile of features by a univariate statistical test.
SimpleImputer	Fill missing values using a simple univariate per-column strategy.
SkewedChi2Sampler	Approximate the skewed chi-squared kernel feature map via random Fourier features.
StandardScaler	Standardize features by removing the mean and scaling to unit variance.
Summarizer	Replace each long text value with an abstractive summary.
TFIDFConverter	Convert raw text documents into a matrix of TF-IDF weighted features.
TextCleaner	Clean the artifacts text extraction leaves in text values.
TextSplitter	Split each selected Text item into several items.
TimeResamplerConverter	Put a dated table on a regular calendar grid, one row per period.
TimeSeriesWindowConverter	Turn a time series into the supervised rows a regression model needs.
TokenizerConverter	Converter that tokenizes text and stores each token ID in a separate column.
TruncatedSVD	Reduce dimensionality using Truncated Singular Value Decomposition (LSA).
TypeCast	Change the DashAI type of the columns selected in scope.
VarianceThreshold	Remove features whose variance across the training set is below a threshold.