diff --git a/src/fondant/components/filter_text_length/Dockerfile b/src/fondant/components/filter_text_length/Dockerfile
deleted file mode 100644
index d7b80e7ab..000000000
--- a/src/fondant/components/filter_text_length/Dockerfile
+++ /dev/null
@@ -1,28 +0,0 @@
-FROM --platform=linux/amd64 python:3.10-slim as base
-
-# System dependencies
-RUN apt-get update && \
- apt-get upgrade -y && \
- apt-get install git -y
-
-# Install requirements
-COPY requirements.txt /
-RUN pip3 install --no-cache-dir -r requirements.txt
-
-# Install Fondant
-# This is split from other requirements to leverage caching
-ARG FONDANT_VERSION=main
-RUN pip3 install fondant[aws,azure,gcp]@git+https://github.com/ml6team/fondant@${FONDANT_VERSION}
-
-# Set the working directory to the component folder
-WORKDIR /component
-COPY src/ src/
-
-FROM base as test
-COPY tests/ tests/
-RUN pip3 install --no-cache-dir -r tests/requirements.txt
-RUN python -m pytest tests
-
-FROM base
-WORKDIR /component/src
-ENTRYPOINT ["fondant", "execute", "main"]
diff --git a/src/fondant/components/filter_text_length/README.md b/src/fondant/components/filter_text_length/README.md
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index fa2088de6..000000000
--- a/src/fondant/components/filter_text_length/README.md
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@@ -1,64 +0,0 @@
-# Filter text length
-
-
-## Description
-A component that filters out text based on their length
-
-
-## Inputs / outputs
-
-
-### Consumes
-**This component consumes:**
-
-- text: string
-
-
-
-
-
-### Produces
-
-
-**This component does not produce data.**
-
-
-## Arguments
-
-The component takes the following arguments to alter its behavior:
-
-| argument | type | description | default |
-| -------- | ---- | ----------- | ------- |
-| min_characters_length | int | Minimum number of characters | / |
-| min_words_length | int | Mininum number of words | / |
-
-
-## Usage
-
-You can add this component to your pipeline using the following code:
-
-```python
-from fondant.pipeline import Pipeline
-
-
-pipeline = Pipeline(...)
-
-dataset = pipeline.read(...)
-
-dataset = dataset.apply(
- "filter_text_length",
- arguments={
- # Add arguments
- # "min_characters_length": 0,
- # "min_words_length": 0,
- },
-)
-```
-
-
-## Testing
-
-You can run the tests using docker with BuildKit. From this directory, run:
-```
-docker build . --target test
-```
diff --git a/src/fondant/components/filter_text_length/fondant_component.yaml b/src/fondant/components/filter_text_length/fondant_component.yaml
deleted file mode 100644
index ba99e95f4..000000000
--- a/src/fondant/components/filter_text_length/fondant_component.yaml
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@@ -1,17 +0,0 @@
-name: Filter text length
-description: A component that filters out text based on their length
-image: fndnt/filter_text_length:latest
-tags:
- - Text processing
-
-consumes:
- text:
- type: string
-
-args:
- min_characters_length:
- description: Minimum number of characters
- type: int
- min_words_length:
- description: Mininum number of words
- type: int
\ No newline at end of file
diff --git a/src/fondant/components/filter_text_length/requirements.txt b/src/fondant/components/filter_text_length/requirements.txt
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index c9348a998..000000000
--- a/src/fondant/components/filter_text_length/requirements.txt
+++ /dev/null
@@ -1,2 +0,0 @@
-pyarrow>=7.0
-fasttext-wheel==0.9.2
\ No newline at end of file
diff --git a/src/fondant/components/filter_text_length/src/main.py b/src/fondant/components/filter_text_length/src/main.py
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index 4d88ee103..000000000
--- a/src/fondant/components/filter_text_length/src/main.py
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@@ -1,36 +0,0 @@
-"""A component that filters out text based on their length."""
-import logging
-
-import fasttext
-import pandas as pd
-from fondant.component import PandasTransformComponent
-
-logger = logging.getLogger(__name__)
-
-
-class FilterTextLengthComponent(PandasTransformComponent):
- """A component that filters out text based on their length."""
-
- def __init__(self, *, min_characters_length: int, min_words_length: int):
- """Setup component.
-
- Args:
- min_characters_length: minimum number of characters
- min_words_length: minimum number of words.
- """
- super().__init__()
- self.min_characters_length = min_characters_length
- self.min_words_length = min_words_length
-
- def transform(self, dataframe: pd.DataFrame) -> pd.DataFrame:
- """Filter out text based on their length."""
- caption_num_words = dataframe["text"].apply(
- lambda x: len(fasttext.tokenize(x)),
- )
- caption_num_chars = dataframe["text"].apply(len)
-
- mask = (caption_num_words >= self.min_words_length) & (
- caption_num_chars >= self.min_characters_length
- )
- dataframe = dataframe[mask]
- return dataframe
diff --git a/src/fondant/components/filter_text_length/tests/pytest.ini b/src/fondant/components/filter_text_length/tests/pytest.ini
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index bf6a8a517..000000000
--- a/src/fondant/components/filter_text_length/tests/pytest.ini
+++ /dev/null
@@ -1,2 +0,0 @@
-[pytest]
-pythonpath = ../src
\ No newline at end of file
diff --git a/src/fondant/components/filter_text_length/tests/requirements.txt b/src/fondant/components/filter_text_length/tests/requirements.txt
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index 2a929edcc..000000000
--- a/src/fondant/components/filter_text_length/tests/requirements.txt
+++ /dev/null
@@ -1 +0,0 @@
-pytest==7.4.2
diff --git a/src/fondant/components/filter_text_length/tests/text_length_filter_test.py b/src/fondant/components/filter_text_length/tests/text_length_filter_test.py
deleted file mode 100644
index e73824df2..000000000
--- a/src/fondant/components/filter_text_length/tests/text_length_filter_test.py
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@@ -1,28 +0,0 @@
-"""Unit test for text length filter component."""
-import pandas as pd
-
-from src.main import FilterTextLengthComponent
-
-
-def test_run_component_test():
- """Test text length filter component."""
- # Given: Dataframe with text with different lengths
- data = [
- {"text": "To less words"},
- {"text": "Still to less chars"},
- {"text": "This a valid sentence which should be still there"},
- ]
-
- dataframe = pd.DataFrame(data)
-
- component = FilterTextLengthComponent(
- min_characters_length=20,
- min_words_length=4,
- )
- dataframe = component.transform(dataframe=dataframe)
-
- # Then: dataframe only contains one row
- assert len(dataframe) == 1
- assert (
- dataframe.loc[2]["text"] == "This a valid sentence which should be still there"
- )